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155. Ventura, C., Tella-Amo, M., & i Nieto, X. G. (2013). UPC at MediaEval 2013 Hyperlinking Task. MediaEval Working Notes Proceedings.
156. Morchid, M., Dufour, R., & Linares, G. (2013). Event detection from image hosting services by slightly-supervised multi-span context models. International Workshop on Content-Based Multimedia Indexing (CBMI).
157. Lokaj, M., Stiegler, H., & Bailer, W. (2013). TOSCA-MP at Search and Hyperlinking of Television Content Task. MediaEval Working Notes Proceedings.
158. Schouten, K., Aly, R., & Ordelman, R. (2013). Searching and Hyperlinking using Word Importance Segment Boundaries in MediaEval 2013. MediaEval Working Notes Proceedings.
159. Knees, P., & Schedl, M. (2013). Music similarity and retrieval. Proceedings of the International ACM SIGIR.
160. Armagan, A., Popescu, A., & Duygulu, P. (2013). Mucke participation at retrieving diverse social images task of mediaeval 2013. MediaEval Working Notes Proceedings.
161. Goto, S., & Aoki, T. (2013). TUDCL at MediaEval 2013 Violent Scenes Detection: Training with Multi-modal Features by MKL. MediaEval Working Notes Proceedings.
162. Lam, V., Phan, S., Ngo, T. D., Le, D. D., Duong, D. A., & Satoh, S. (2013). Violent scene detection using mid-level feature. Proceedings of the Fourth Symposium on Information and Communication Technology.
163. Sheshadri, A., & Lease, M. (2013). SQUARE: Benchmarking Crowd Consensus at MediaEval. MediaEval Working Notes Proceedings.
164. Hare, J., Acosta, M., Weston, A., Simperl, E., Samangooei, S., Dupplaw, D., & Lewis, P. H. (2013). An investigation of techniques that aim to improve the quality of labels provided by the crowd. MediaEval Working Notes Proceedings.
165. Melle, A., & Dugelay, J. L. (2013). Shape and Color-aware Privacy Protection. MediaEval Working Notes Proceedings.
166. Escalante, H. J., & Morales-Reyes, A. (2013). TIA-INAOE’s Approach for the 2013 Retrieving Diverse Social Images Task. MediaEval Working Notes Proceedings.
167. Radu, A. L., Boteanu, B., Ples, O., & Ionescu, B. (2013). LAPI@ Retrieving Diverse Social Images Task 2013: Qualitative Photo Retrieval using Multimedia Content. MediaEval Working Notes Proceedings.
168. Jarina, R., Kuba, M., Gubka, R., Chmulik, M., & Paralic, M. (2013). UNIZA System for the Spoken Web Search Task at MediaEval2013. MediaEval Working Notes Proceedings.
169. Magliacane, S., & Groth, P. T. (2013). Repurposing Benchmark Corpora for Reconstructing Provenance. SePublica.
170. Georgescu, M., & Zhu, X. (2013). L3S at MediaEval 2013 Crowdsourcing for Social Multimedia Task. MediaEval Working Notes Proceedings.
171. Maniry, D., Acar, E., & Albayrak, S. (2013). DAI at the MediaEval 2013 Visual Privacy Task: Representing People with Foreground Edges. MediaEval Working Notes Proceedings.
172. Lam, V., Le, D. D., Phan, S., Satoh, S., Duong, D. A., & Ngo, T. D. (2013). Evaluation of Low-Level features for detecting Violent Scenes in videos. International Conference on Soft Computing and Pattern Recognition (SoCPaR).
173. Tankoyeu, I., Stöttinger, J., & Giunchiglia, F. (2013). Context-based media geotagging of personal photos. Technical Report.
174. Brenner, M., & Izquierdo, E. (2013). Event-driven retrieval in collaborative photo collections. International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS).
175. Morchid, M., Dufour, R., Bouallegue, M., Linarès, G., & Matrouf, D. (2013). LIA@ MediaEval 2013 MusiClef Task: A Combined Thematic and Acoustic Approach. MediaEval Working Notes Proceedings.
176. Morchid, M., Dufour, R., Bouallegue, M., Linarès, G., & Matrouf, D. (2013). LIA@ MediaEval 2013 Crowdsourcing Task: Metadata or not Metadata? That is a Fashion Question. MediaEval Working Notes Proceedings.
177. Granada F Garcı́a, Arnal E Sanchı́s, Lance, M. C., Santamarı́a F Pla, & Oliver, L. F. H. (2013). ELIRF at MEDIAEVAL 2013: Similar Segments of Social Speech Task. MediaEval Working Notes Proceedings.
178. Sedky, M. H., Chibelushi, C. C., & Moniri, M. (2013). MediaEval 2013 Visual Privacy Task: Physics-Based Technique for Protecting Privacy in Surveillance Videos. MediaEval Working Notes Proceedings.
179. Sedky, M., Chibelushi, C. C., & Moniri, M. (2013). Physics-Based Technique for Protecting Privacy in Surveillance Videos. MediaEval Working Notes Proceedings.
180. Schmiedeke, S., Kelm, P., & Sikora, T. (2013). TUB@ MediaEval 2013 Visual Privacy Task: Reversible Scrambling with colour-preservative Characteristic. MediaEval Working Notes Proceedings.
181. do Nascimento Teixeira, B. (2013). MTM at MediaEval 2013 Violent Scenes Detection: Through Acoustic-visual Transform. MediaEval Working Notes Proceedings.
182. Gracia, C., Anguera, X., & Binefa, X. (2013). The CMTECH Spoken Web Search System for MediaEval. MediaEval Working Notes Proceedings.
183. Wartena, C. (2013). Segmentation Strategies for Passage Retrieval from Internet Video using Speech Transcripts. Journal of Digital Information Management.
184. Pantoja, C., Arguedas, V. F., & Izquierdo, E. (2013). MediaEval 2013 Visual Privacy Task: Pixel Based Anonymisation Technique. MediaEval Working Notes Proceedings.
185. Yanai, K., & Nga, D. H. (2013). UEC, Tokyo at MediaEval 2013 Retrieving Diverse Social Images Task. MediaEval Working Notes Proceedings.
186. Tserpes, K., Kardara, M., & Varvarigou, T. (2013). A similarity-based Chinese Restaurant Process for Social Event Detection. MediaEval Working Notes Proceedings.
187. Garcia, J. L. R., Troncy, R., & Pikora, L. (2013). LinkedTV at MediaEval 2013 Search and Hyperlinking Task. MediaEval Working Notes Proceedings.
188. Ruocco, M., & Ramampiaro, H. (2013). Event-related image retrieval: exploring geographical and temporal distribution of user tags. International Journal of Multimedia Information Retrieval.
189. Apostolidis, E., Mezaris, V., Stein, C. D., & Eickeler, S. (2013). Television Linked To The Web.
190. Eskevich, M., Aly, R., Racca, D., Ordelman, R., Chen, S., & Jones, G. J. F. (2014). The search and hyperlinking task at MediaEval 2014. MediaEval Working Notes Proceedings.
191. Ionescu, B., Gansca, A. L., Boteanu, B., Popescu, A., Lupu, M., & Müller, H. (2014). Retrieving Diverse Social Images at MediaEval 2014: Challenge, Dataset and Evaluation. MediaEval Working Notes Proceedings.
192. Rodriguez-Fuentes, L. J., Varona, A., Penagarikano, M., Bordel, G., & Diez, M. (2014). High-performance query-by-example spoken term detection on the SWS 2013 evaluation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
193. Anguera, X., Rodriguez-Fuentes, L. J., Söke, I., Buzo, A., & Metze, F. (2014). Query by Example Search on Speech at Mediaeval 2014. MediaEval Working Notes Proceedings.
194. Metze, F., Anguera, X., Barnard, E., Davel, M., & Gravier, G. (2014). Language independent search in MediaEval’s Spoken Web Search task. Computer Speech and Language.
195. Safadi, B., Sahuguet, M., & Huet, B. (2014). When textual and visual information join forces for multimedia retrieval. ACM International Conference on Multimedia Retrieval.
196. Söke, I., Bürget, L., Grézl, F., Černocky, J. H., & Ondel, L. (2014). Calibration and fusion of query-by-example systems - BUT SWS 2013. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
197. Petkos, G., Papadopoulos, S., Mezaris, V., & Kompatsiaris, Y. (2014). Social Event Detection at MediaEval 2014: Challenges, Datasets, and Evaluation. MediaEval Working Notes Proceedings.
198. Anguera, X., Rodriguez-Fuentes, L. J., Söke, I., Buzo, A., Metze, F., & Penagarikano, M. (2014). Query-by-example spoken term detection evaluation on low-resource languages. Spoken Language Technologies for Under-Resourced Languages.
199. Söke, I., Skácel, M., & Burget, L. (2014). BUT QUESST 2014 system description. MediaEval Working Notes Proceedings.
200. Dang-Nguyen, D. T., Piras, L., Giacinto, G., Boato, G., & Natale, F. G. B. D. (2014). Retrieval of Diverse Images by Pre-filtering and Hierarchical Clustering. MediaEval Working Notes Proceedings.
201. Petkos, G., Papadopoulos, S., Schinas, E., & Kompatsiaris, Y. (2014). Graph-based multimodal clustering for social event detection in large collections of images. International Conference on Multimedia Modeling.
202. Apostolidis, E., Mezaris, V., Sahuguet, M., Huet, B., Červenková, B., Stein, D., Eickeler, S., Garcia, J. L. R., Troncy, R., & Pikora, L. (2014). Automatic fine-grained hyperlinking of videos within a closed collection using scene segmentation. ACM International Conference on Multimedia.
203. Coutinho, E., Weninger, F., Schuller, B. W., & Scherer, K. R. (2014). The Munich LSTM-RNN Approach to the MediaEval 2014 Emotion in Music Task. MediaEval Working Notes Proceedings.
204. Yang, P., Xu, H., Xiao, X., Xie, L., Leung, C. C., Chen, H., Yu, J., Lv, H., Wang, L., Leow, S. J., & others. (2014). The NNI Query-by-Example System for MediaEval 2014. MediaEval Working Notes Proceedings.
205. Lam, V., Le, D. D., Phan, S., Satoh, S., & Duong, D. A. (2014). NII-UIT at MediaEval 2014 Violent Scenes Detection Affect Task. MediaEval Working Notes Proceedings.
206. Dai, Q., Wu, Z., Jiang, Y. G., Xue, X., & Tang, J. (2014). Fudan-NJUST at MediaEval 2014: Violent Scenes Detection Using Deep Neural Networks. MediaEval Working Notes Proceedings.
207. Mantena, G., & Prahallad, K. (2014). Use of articulatory bottle-neck features for query-by-example spoken term detection in low resource scenarios. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
208. Kumar, N., Gupta, R., Guha, T., Vaz, C., Segbroeck, M. V., Kim, J., & Narayanan, S. S. (2014). Affective Feature Design and Predicting Continuous Affective Dimensions from Music. MediaEval Working Notes Proceedings.
209. Ionescu, B. E., Seyerlehner, K., Mironică, I., Vertan, C., & Lambert, P. (2014). An audio-visual approach to web video categorization. Multimedia Tools and Applications.
210. Ahsan, U., & Essa, I. (2014). Clustering social event images using kernel canonical correlation analysis. IEEE Conference on Computer Vision and Pattern Recognition Workshops.
211. Avila, S., Moreira, D., Perez, M., Moraes, D., Cota, I., Testoni, V., Valle, E., Goldenstein, S., Rocha, A., & others. (2014). RECOD at MediaEval 2014: Violent scenes detection task. MediaEval Working Notes Proceedings.
212. Li, L. T., Pedronette, D. C. G., Almeida, J., Penatti, O. A. B., Calumby, R. T., & Torres, R. S. (2014). A rank aggregation framework for video multimodal geocoding. Multimedia Tools and Applications.
213. Apostolidis, K., Papagiannopoulou, C., & Mezaris, V. (2014). CERTH at MediaEval 2014 Synchronization of Multi-User Event Media Task. MediaEval Working Notes Proceedings.
214. Zhang, B., Yi, Y., Wang, H., & Yu, J. (2014). MIC-TJU at MediaEval Violent Scenes Detection (VSD) 2014. MediaEval Working Notes Proceedings.
215. Bhatt, C., Pappas, N., Habibi, M., & Popescu-Belis, A. (2014). Multimodal reranking of content-based recommendations for hyperlinking video snippets. ACM International Conference on Multimedia Retrieval.
216. do Nascimento Teixeira, B. (2014). Mtm at mediaeval 2014 violence detection task. MediaEval Working Notes Proceedings.
217. Boteanu, B., Mironică, I., & Ionescu, B. (2014). A relevance feedback perspective to image search result diversification. International Conference on Intelligent Computer Communication and Processing (ICCP).
218. Sjöberg, M., Mironica, I., Schedl, M., & Ionescu, B. (2014). FAR at MediaEval 2014 Violent Scenes Detection: A Concept-based Fusion Approach. MediaEval Working Notes Proceedings.
219. Castán, D., Rodríguez, M., Ortega, A., Orrite, C., & Lleida, E. (2014). ViVoLab and CVLab-MediaEval 2014: Violent Scenes Detection Affect Task. MediaEval Working Notes Proceedings.
220. Derbas, N., & Quénot, G. (2014). Joint audio-visual words for violent scenes detection in movies. ACM International Conference on Multimedia Retrieval.
221. Proença, J., Veiga, A., & Perdigao, F. (2014). The SPL-IT Query by Example Search on Speech system for MediaEval 2014. MediaEval Working Notes Proceedings.
222. Sutcliffe, R. F. E., Crawford, T., Fox, C., Root, D. L., & Hovy, E. (2014). Shared evaluation of natural language queries against classical music scores: A full description of the C@merata 2014 task. MediaEval Working Notes Proceedings.
223. Galuščáková, P., & Pecina, P. (2014). Experiments with segmentation strategies for passage retrieval in audio-visual documents. ACM International Conference on Multimedia Retrieval.
224. Sutanto, T., & Nayak, R. (2014). Ranking Based Clustering for Social Event Detection. MediaEval Working Notes Proceedings.
225. Rodríguez-Fuentes, L. J., Varona, A., Penagarikano, M., Bordel, G., & Diez, M. (2014). GTTS-EHU Systems for QUESST at MediaEval 2014. MediaEval Working Notes Proceedings.
226. Chen, S., Jones, G. J. F., & O’Connor, N. E. (2014). Dcu linking runs at mediaeval 2014: search and hyperlinking task. MediaEval Working Notes Proceedings.
227. Loni, B., Hare, J., Georgescu, M., Riegler, M., Zhu, X., Morchid, M., Dufour, R., & Larson, M. (2014). Getting by with a little help from the crowd: Practical approaches to social image labeling. ACM Workshop on Crowdsourcing for Multimedia.
228. Zaharieva, M., Schopfhauser, D., Fabro, M. D., & Zeppelzauer, M. (2014). Clustering and Retrieval of Social Events in Flickr. MediaEval Working Notes Proceedings.
229. Spyromitros-Xioufis, E., Papadopoulos, S., Kompatsiaris, Y., & Vlahavas, I. (2014). Socialsensor: Finding diverse images at mediaeval 2014. MediaEval Working Notes Proceedings.
230. Ionescu, B., Popescu, A., Muller, H., Menendez, M., & Radu, A. L. (2014). Benchmarking result diversification in social image retrieval. IEEE International Conference on Image Processing (ICIP).
231. Goto, S., & Aoki, T. (2014). Violent scenes detection using mid-level violence clustering. Computer Science CSCP.
232. Fan, Y., & Xu, M. (2014). MediaEval 2014: THU-HCSIL Approach to Emotion in Music Task using Multi-level Regression. MediaEval Working Notes Proceedings.
233. Ginsca, A. L., Lupu, M., & Popescu, A. (2014). User Context Mining Module. MUCKE Project Deliverable.
234. Pournaras, A., Mezaris, V., Stein, D., Eickeler, S., & ... (2014). LinkedTV at MediaEval 2014 Search and Hyperlinking Task. MediaEval Working Notes Proceedings.
235. Galuščáková, P., & Pecina, P. (2014). CUNI at MediaEval 2014 search and hyperlinking task: Search task experiments. MediaEval Working Notes Proceedings.
236. Acar, E., & Albayrak, S. (2014). TUB-IRML at MediaEval 2014 Violent Scenes Detection Task: Violence Modeling through Feature Space Partitioning. MediaEval Working Notes Proceedings.
237. Gînsca, A. L., Popescu, A., & Rekabsaz, N. (2014). CEA LIST’s Participation at the MediaEval 2014 Retrieving Diverse Social Images Task. MediaEval Working Notes Proceedings.
238. Buzo, A., Cucu, H., & Burileanu, C. (2014). SpeeD@ MediaEval 2014: Spoken Term Detection with Robust Multilingual Phone Recognition. MediaEval Working Notes Proceedings.
239. Racca, D., & Jones, G. J. F. (2014). Dcu search runs at MediaEval 2014 search and hyperlinking. MediaEval Working Notes Proceedings.
240. Gracia, C., Anguera, X., & Binefa, X. (2014). Combining temporal and spectral information for Query-by-Example Spoken Term Detection. IEEE European Signal Processing Conference (EUSIPCO).
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242. Fradi, H., Yan, Y., & Dugelay, J. L. (2014). Privacy Protection Filter Using Shape and Color Cues. MediaEval Working Notes Proceedings.
243. Riga, M., Petkos, G., Papadopoulos, S., Schinas, M., & ... (2014). CERTH@ MediaEval 2014 Social Event Detection Task. MediaEval Working Notes Proceedings.
244. Calumby, R. T., Santana, V. P., Cordeiro, F. S., Penatti, O. A. B., Li, L. T., Chiachia, G., Torres, R. S., & others. (2014). Recod@ MediaEval 2014: diverse social images retrieval. MediaEval Working Notes Proceedings.
245. Bailer, W., Weiss, W., Schober, C., & Thallinger, G. (2014). Browsing linked video collections for media production. International Conference on Multimedia Modeling.
246. Galuščáková, P., Kruliš, M., Lokoč, J., & Pecina, P. (2014). Cuni at mediaeval 2014 search and hyperlinking task: visual and prosodic features in hyperlinking. MediaEval Working Notes Proceedings.
247. Collins, T. (2014). Stravinsqi/De Montfort University at the MediaEval 2014 C@merata Task. MediaEval Working Notes Proceedings.
248. Erdélyi, Á., Winkler, T., & Rinner, B. (2014). Multi-Level Cartooning for Context-Aware Privacy Protection in Visual Sensor Networks. MediaEval Working Notes Proceedings.
249. Sansone, E., Boato, G., & Dao, M. S. (2014). Synchronizing Multi-User Photo Galleries with MRF. MediaEval Working Notes Proceedings.
250. Kesiraju, S., Mantena, G. V., & Prahallad, K. (2014). IIIT-H System for MediaEval 2014 QUESST. MediaEval Working Notes Proceedings.
251. Calvo, M., Giménez, M., Hurtado, L. F., Arnal, E. S., & Gómez, J. A. (2014). ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST). MediaEval Working Notes Proceedings.
252. Bailer, W., Lokaj, M., & Stiegler, H. (2014). Context in Video Search: Is Close-by Good Enough When Using Linking? ACM International Conference on Multimedia Retrieval.
253. Simon, A. R., Gravier, G., Sébillot, P., & Moens, M. F. (2014). IRISA and KUL at MediaEval 2014: Search and hyperlinking task. MediaEval Working Notes Proceedings.
254. Zaharieva, M., Riegler, M., & Fabro, M. D. (2014). Multimodal Synchronization of Image Galleries. MediaEval Working Notes Proceedings.
255. Denman, S., Dean, D., Fookes, C., & Sridharan, S. (2014). SAIVT-ADMRG@ mediaeval 2014 social event detection. MediaEval Working Notes Proceedings.
256. Spampinato, C., & Palazzo, S. (2014). PeRCeiVe Lab@ UNICT at MediaEval 2014 Diverse Images: Random Forests for Diversity-based Clustering. MediaEval Working Notes Proceedings.
257. Markov, K., & Matsui, T. (2014). Dynamic Music Emotion Recognition Using State-Space Models. MediaEval Working Notes Proceedings.
258. Palotti, J. R. M., Rekabsaz, N., Lupu, M., & Hanbury, A. (2014). TUW@ Retrieving Diverse Social Images Task 2014. MediaEval Working Notes Proceedings.
259. Manchon-Vizuete, D., Gris-Sarabia, I., & Nieto, X. G. (2014). Photo clustering of social events by extending PhotoTOC to a rich context. ICMR Workshop on Social Events in Web Multimedia.
260. Dao, M. S., Duong, A. D., & Natale, F. G. D. (2014). Unsupervised social media events clustering using user-centric parallel split-n-merge algorithms. International Conference on Acoustics, Speech and Signal Processing (ICASSP).
261. Wan, S. (2014). The CLAS System at the MediaEval 2014 C@merata Task. MediaEval Working Notes Proceedings.
262. Aljanaki, A., Soleymani, M., Wiering, F., & Veltkamp, R. (2014). Mediaeval 2014: A multimodal approach to drop detection in electronic dance music. MediaEval Working Notes Proceedings.
263. Nowak, P., Thaler, M., Stiegler, H., & Bailer, W. (2014). JRS at Event Synchronization Task. MediaEval Working Notes Proceedings.
264. Wang, H., & Lee, T. (2014). CUHK System for QUESST Task of MediaEval 2014. MediaEval Working Notes Proceedings.
265. Yang, W., Cai, K., Wu, B., Wang, Y., Chen, X., Yang, D., & Horner, A. (2014). Beatsens’ Solution for MediaEval 2014 Emotion in Music Task. MediaEval Working Notes Proceedings.
266. Paróczi, Z., Fodor, B., & Szücs, G. (2014). DCLab at MediaEval2014 Search and Hyperlinking Task. MediaEval Working Notes Proceedings.
267. Simon, A. R., Gravier, G., & Sébillot, P. (2014). IRISA at MediaEval 2015: Search and Anchoring in Video Archives Task. MediaEval Working Notes Proceedings.
268. Kini, N. (2014). TCSL at the MediaEval 2014 C@merata Task. MediaEval Working Notes Proceedings.
269. Korshunov, P., & Ebrahimi, T. (2014). Mediaeval 2014 visual privacy task: geometrical privacy protection tool. MediaEval Working Notes Proceedings.
270. Mousselly-Sergieh, H., Watzinger, D., Huber, B., Döller, M., Egyed-Zsigmond, E., & Kosch, H. (2014). World-Wide Scale Geotagged Image Dataset for Automatic Image Annotation and Reverse Geotagging. ACM Multimedia Systems Conference.
271. Hanbury, A., Lupu, M., Duygulu, P., Popescu, A., & Iftene, A. (2014). User-Centred Image Retrieval Model. MUCKE Project Deliverable.
272. Gracia, C., Anguera, X., & Binefa, X. (2014). Combining temporal and spectral information for Query-by-Example Spoken Term Detection. European Signal Processing Conference (EUSIPCO).
273. Paralic, M., & Jarina, R. (2014). UNIZA@ Mediaeval 2014 Visual Privacy Task: Object Transparency Approach. MediaEval Working Notes Proceedings.
274. Schmiedeke, S., Kelm, P., Goldmann, L., & Sikora, T. (2014). TUB@ MediaEval 2014 Visual Privacy Task: Reversible Scrambling on Foreground Masks. MediaEval Working Notes Proceedings.
275. Hare, J., Dupplaw, D., Lewis, P., Hall, W., & Martinez, K. (2014). Exploiting multimedia in creating and analysing multimedia Web archives. Future Internet.
276. Guinaudeau, C., Laurent, A., & Bredin, H. (2014). LIMSI@ MediaEval SED 2014. MediaEval Working Notes Proceedings.
277. Paróczi, Z., Fodor, B., & Szücs, G. (2014). Re-Ranking the Image Search Results for Relevance and Diversity in MediaEval 2014 Challenge. MediaEval Working Notes Proceedings.
278. Imbrasaite, V., & Robinson, P. (2014). Music Emotion Tracking with Continuous Conditional Neural Fields and Relative Representation. MediaEval Working Notes Proceedings.
279. Vandersmissen, B., Tomar, A., Godin, F., Neve, W. D., & de Walle, R. V. (2014). Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features. MediaEval Working Notes Proceedings.
280. Sarac, M. I., & Duygulu, P. (2014). Bilkent-RETINA at retrieving diverse social images task of MediaEval 2014. MediaEval Working Notes Proceedings.
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282. Rosani, A., Boato, G., & Natale, F. G. B. D. (2014). Eventmask: a gamebased analysis of event-related saliency in photo galleries. Proceedings of the IEEE ICASSP, Show and Tell.
283. Chiu, J., & Rudnicky, A. (2014). LACS System analysis on retrieval models for the MediaEval 2014 Search and Hyperlinking Task. MediaEval Working Notes Proceedings.
284. Morchid, M., Dufour, R., & Linares, G. (2014). A Combined Thematic and Acoustic Approach for a Music Recommendation Service in TV Commercials. ISMIR.
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286. Pantoja, C., & Izquierdo, E. (2014). MediaEval 2014 Visual Privacy Task: De-identification and Re-identification of Subjects in CCTV. MediaEval Working Notes Proceedings.
287. Maniry, D., Acar, E., & Albayrak, S. (2014). TUB-IRML at MediaEval 2014 Visual Privacy Task: Privacy Filtering through Blurring and Color Remapping. MediaEval Working Notes Proceedings.
288. Goto, S., & Aoki, T. (2014). Violent Scenes Detection based on Automatically-generated Mid-level Violent Concepts. Computer Vision Winter Workshop.
289. Vavrek, J., Viszlay, P., Lojka, M., Pleva, M., & Juhár, J. (2014). TUKE System for MediaEval 2014 QUESST. MediaEval Working Notes Proceedings.
290. Ruocco, M. (2014). Geo-Temporal Mining and Searching of Events from Web-based Image Collections. PhD Dissertation.
291. Simon, A. R., Guinaudeau, C., Sébillot, P., & Gravier, G. (2014). Investigating domain-independent NLP techniques for precise target selection in video hyperlinking. ISCA/IEEE Workshop on Speech, Language and Audio in Multimedia.
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293. Kumar, N., & Narayanan, S. S. (2014). Detection of Musical Event Drop from Crowdsourced Annotations Using a Noisy Channel Model. MediaEval Working Notes Proceedings.
294. Maidín, D. Ó. (2014). OMDN at the MediaEval 2014 C@merata Task. MediaEval Working Notes Proceedings.
295. Weiland, L., & Ponzetto, S. P. (2014). DWS at MediaEval 2014 Retrieving Diverse Social Images: Approaches for Visual and Textual Runs. MediaEval Working Notes Proceedings.
296. Terumasa, A., & Shinichi, G. (2014). Automatic Mid-Level Concepts Clustering for Violent Movie Scenes Detection. Journal of Mathematics and System Science.
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299. Khan, W. (2014). A Novel Approach for Continuous Speech Tracking and Dynamic Time Warping. Adaptive Framing Based Continuous Speech Similarity Measure and Dynamic Time. PhD Dissertation.
300. Boteanu, B., Mironica, I., Radu, A. L., & Ionescu, B. (2014). LAPI@ 2014 Retrieving Diverse Social Images Task: A Relevance Feedback Diversification Perspective. MediaEval Working Notes Proceedings.
301. Simon, A. R., Gravier, G., Sébillot, P., & IRISA, M. F. M. (2014). Hyperlinking Task. MediaEval Working Notes Proceedings.
302. Karamti, H., Tmar, M., & Gargouri, F. (2014). MIRACL’s participation at MediaEval 2014 Retrieving Diverse Social Images Task. MediaEval Working Notes Proceedings.
303. Bailer, W., & Stiegler, H. (2014). JRS at Search and Hyperlinking of Television Content Task. MediaEval Working Notes Proceedings.
304. Wang, H., Lee, T., Leung, C. C., Ma, B., & Li, H. (2015). Acoustic segment modeling with spectral clustering methods. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
305. Dai, Q., Zhao, R. W., Wu, Z., Wang, X., Gu, Z., Wu, W., & Jiang, Y. G. (2015). Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning. MediaEval Working Notes Proceedings.
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329. Seddati, O., Kulah, E., Pironkov, G., Dupont, S., Mahmoudi, S., & Dutoit, T. (2015). UMons at MediaEval 2015 Affective Impact of Movies Task including Violent Scenes Detection. MediaEval Working Notes Proceedings.
330. Li, X., Larson, M., & Hanjalic, A. (2015). Global-scale location prediction for social images using geo-visual ranking. IEEE Transactions on Multimedia.
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332. Pellegrini, T., & Barriere, V. (2015). Time-continuous estimation of emotion in music with recurrent neural networks. MediaEval Working Notes Proceedings.
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378. Vliegendhart, R., Liem, C. C. S., & Larson, M. (2015). Exploring microblog activity for the prediction of hyperlink anchors in television broadcasts. MediaEval Working Notes Proceedings.
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446. Boididou, C., Middleton, S. E., Papadopoulos, S., Nguyen, D., Tien, D., Riegler, M., Boato, G., Petlund, A., & Kompatsiaris, Y. (2016). The VMU participation@ verifying multimedia use 2016. MediaEval Working Notes Proceedings.
447. Phan, Q. T., Budroni, A., Pasquini, C., & Natale, F. G. B. D. (2016). A Hybrid Approach for Multimedia Use Verification. MediaEval Working Notes Proceedings.
448. Maigrot, C., Claveau, V., Kijak, E., & Sicre, R. (2016). Mediaeval 2016: A multimodal system for the verifying multimedia use task. MediaEval Working Notes Proceedings.
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450. Rayatdoost, S., & Soleymani, M. (2016). Ranking Images and Videos on Visual Interestingness by Visual Sentiment Features. MediaEval Working Notes Proceedings.
451. Ionescu, B., Gînscă, A. L., Boteanu, B., Lupu, M., Popescu, A., & Müller, H. (2016). Div150Multi: a social image retrieval result diversification dataset with multi-topic queries. International Conference on Multimedia Systems.
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488. Tan, C. C., & Ngo, C. W. (2016). On the use of commonsense ontology for multimedia event recounting. International Journal of Multimedia Information Retrieval.
489. Zaharieva, M. (2016). An Adaptive Clustering Approach for the Diversification of Image Retrieval Results. MediaEval Working Notes Proceedings.
490. Le, N., Meignier, S., & Odobez, J. M. (2016). Eumssi team at the mediaeval person discovery challenge 2016. MediaEval Working Notes Proceedings.
491. Katsiavalos, A. (2016). DMUN: A Textual Interface for Content-Based Music Information Retrieval in the C@merata task for MediaEval 2016. MediaEval Working Notes Proceedings.
492. Aljanaki, A. (2016). Emotion in Music: representation and computational modeling. PhD Dissertation.
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495. Mytrova, M. (2016). The KIAM System in the C@merata Task at MediaEval 2016. MediaEval Working Notes Proceedings.
496. Buccoli, M., Zanoni, M., Fazekas, G., Sarti, A., & Sandler, M. B. (2016). A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. ISMIR.
497. Ferreira, C. D., Calumby, R. T., Araujo, I. B. A. C., Dourado, I. C., Munoz, J. A. V., Penatti, O. A. B., Li, L. T., Almeida, J., & da Silva Torres, R. (2016). Recod@ MediaEval 2016: Diverse Social Images Retrieval. MediaEval Working Notes Proceedings.
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501. Alsaedi, N., Burnap, P., & Rana, O. (2016). Sensing Real-World Events Using Social Media Data and a Classification-Clustering Framework. IEEE/WIC/ACM International Conference on Web Intelligence (WI).
502. Pogorelov, K., Riegler, M., Halvorsen, P., & Griwodz, C. (2016). Simula@ MediaEval 2016 Context of Experience Task. MediaEval Working Notes Proceedings.
503. Godambe, T., Kumar, N., Kumar, P., Raghavendra, V., & Ganapathiraju, A. (2016). ININ Submission to Zero Cost ASR Task at MediaEval 2016. MediaEval Working Notes Proceedings.
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506. Gaus, Y. F. A., Meng, H., Jan, A., Liu, J., Qin, R., & Zhang, F. (2016). MediaEval 2016: Performance of Hand-crafted and Deep features with Exponent Weighted Decision Fusion for Prediction Emotional Impact of Movies. MediaEval Working Notes Proceedings.
507. Wang, L., Ni, C., Leung, C. C., You, C., Xie, L., Xu, H., Xiao, X., Nwe, T. L., Chng, E. S., Ma, B., & others. (2016). The NNI Vietnamese Speech Recognition System for MediaEval 2016. MediaEval Working Notes Proceedings.
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511. Caranica, A., Cucu, H., & Buzo, A. (2016). Exploring an unsupervised, language independent, spoken document retrieval system. International Workshop on Content-Based Multimedia Indexing (CBMI).
512. Pellegrini, T., & Barrière, V. (2016). Sous-continents Estimation of Emotion in Music with Recurrent Neural Networks. MediaEval Working Notes Proceedings.
513. Xu, B., Fan, G., & Yang, D. (2016). Topic Modeling Based Image Clustering by Events in Social Media. Scientific Programming.
514. Eskevich, M., Jones, G. J. F., Aly, R., Ordelman, R., & Huet, B. (2016). Pursuing a Moving Target. Iterative Use of Benchmarking of a Task to Understand the Task. MediaEval Working Notes Proceedings.
515. Erdogan, A. E. G., & Erdem, E. (2016). HUCVL at MediaEval 2016: Predicting Interesting Key Frames with Deep Models. MediaEval Working Notes Proceedings.
516. Bischke, B., Bhardwaj, P., Gautam, A., Helber, P., Borth, D., & Dengel, A. (2017). Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. MediaEval Working Notes Proceedings.
517. Jin, Z., Cao, J., Guo, H., Zhang, Y., & Luo, J. (2017). Multimodal fusion with recurrent neural networks for rumor detection on microblogs. ACM International Conference on Multimedia.
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521. Avgerinakis, K., Moumtzidou, A., Andreadis, S., Michail, E., Gialampoukidis, I., Vrochidis, S., & Kompatsiaris, I. (2017). Visual and Textual Analysis of Social Media and Satellite Images for Flood Detection@ Multimedia Satellite Task MediaEval 2017. MediaEval Working Notes Proceedings.
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524. Ahmad, K., Pogorelov, K., Riegler, M., Conci, N., & Halvorsen, P. (2017). CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. MediaEval Working Notes Proceedings.
525. Hu, X., Lee, J. H., Bainbridge, D., Choi, K., Organisciak, P., & Downie, J. S. (2017). The MIREX grand challenge: A framework of holistic user-experience evaluation in music information retrieval. Journal of the Association for Information Science and Technology.
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527. Lidon, A., Bolaños, M., Dimiccoli, M., Radeva, P., Garolera, M., & Giro-i-Nieto, X. (2017). Semantic summarization of egocentric photo stream events. Workshop on Lifelogging Tools and Applications.
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542. Tian, L., Muszynski, M., Lai, C., Moore, J. D., Kostoulas, T., Lombardo, P., Pun, T., & Chanel, G. (2017). Recognizing induced emotions of movie audiences: Are induced and perceived emotions the same? IEEE International Conference on Affective Computing and Intelligent Interaction (ACII).
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544. Constantin, M. G., Boteanu, B. A., & Ionescu, B. (2017). LAPI at MediaEval 2017-Predicting Media Interestingness. MediaEval Working Notes Proceedings.
545. Gündoğdu, B., Yusuf, B., & Saraçlar, M. (2017). Joint learning of distance metric and query model for posteriorgram-based keyword search. IEEE Journal of Selected Topics in Signal Processing.
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550. Tkachenko, N., Zubiaga, A., & Procter, R. (2017). Wisc at mediaeval 2017: Multimedia satellite task. MediaEval Working Notes Proceedings.
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555. Le, N., Bredin, H., Sargent, G., Lopez-Otero, P., Barras, C., Guinaudeau, C., Gravier, G., da Fonseca, G. B., Freire, I. L., & others. (2017). Towards large scale multimedia indexing: A case study on person discovery in broadcast news. ACM International Workshop on Content-Based Multimedia Indexing.
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557. Berson, E., Demarty, C. H., & Duong, N. (2017). Multimodality and deep learning when predicting media interestingness. MediaEval Working Notes Proceedings.
558. Parekh, J., Tibrewal, H., & Parekh, S. (2017). The IITB Predicting Media Interestingness System for MediaEval 2017. MediaEval Working Notes Proceedings.
559. Papadopoulou, O., Zampoglou, M., Papadopoulos, S., & Kompatsiaris, Y. (2017). Web video verification using contextual cues. ACM International Workshop on Multimedia Forensics and Security.
560. Liu, Y., Gu, Z., & Ko, T. H. (2017). Predicting Media Interestingness via Biased Discriminant Embedding and Supervised Manifold Regression. MediaEval Working Notes Proceedings.
561. Shen, Y., Demarty, C. H., & Duong, N. Q. K. (2017). Deep learning for multimodal-based video interestingness prediction. IEEE International Conference on Multimedia and Expo (ICME).
562. Sutcliffe, R. F. E., & Maidín, Ó. (2017). … C@merata task at MediaEval 2017: Natural Language Queries about Music, their JSON Representations, and Matching Passages in MusicXML Scores. MediaEval Working Notes Proceedings.
563. Petscharnig, S., Schöffmann, K., & Lux, M. (2017). An Inception-like CNN Architecture for GI Disease and Anatomical Landmark Classification. MediaEval Working Notes Proceedings.
564. Koutini, K., Imenina, A., Dorfer, M., Gruber, A., & Schedl, M. (2017). MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach. MediaEval Working Notes Proceedings.
565. Murauer, B., Mayerl, M., Tschuggnall, M., Zangerle, E., Pichl, M., & Specht, G. (2017). Hierarchical Multilabel Classification and Voting for Genre Classification. MediaEval Working Notes Proceedings.
566. Nogueira, K., Fadel, S. G., Dourado, Í. C., de Oliveira Werneck, R., Muñoz, J. A. V., Penatti, O. A. B., Calumby, R. T., Li, L., dos Santos, J. A., & da Silva Torres, R. (2017). Data-Driven Flood Detection using Neural Networks. MediaEval Working Notes Proceedings.
567. Gündogdu, B. (2017). Keyword search for low resource languages.
568. Beiji, Z., Mohammed, N., Chengzhang, Z., & Rongchang, Z. (2017). Crime hotspot detection and monitoring using video based event modeling and mapping techniques. International Journal of Computational Intelligence Systems.
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575. Agrawal, T., Gupta, R., Sahu, S., & Espy-Wilson, C. Y. (2017). SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images. MediaEval Working Notes Proceedings.
576. Liu, Y., Gu, Z., & Cheung, W. K. (2017). HKBU at MediaEval 2017 Medico: Medical multimedia task. MediaEval Working Notes Proceedings.
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578. Rueben, M., Smart, W. D., Grimm, C. M., & Cakmak, M. (2017). Privacy-Sensitive Robotics. ACM/IEEE International Conference on Human-Robot Interaction.
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580. Lopez-Otero, P., Fernández, L. D., & Garcia-Mateo, C. (2017). Compensating Gender Variability in Query-by-Example Search on Speech Using Voice Conversion. INTERSPEECH.
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585. Renders, J. M., & Csurka, G. (2017). NLE@ MediaEval’17: Combining Cross-Media Similarity and Embeddings for Retrieving Diverse Social Images. MediaEval Working Notes Proceedings.
586. Abdelhalim, A. M., & Salem, M. A. M. (2017). Intelligent organization of multiuser photo galleries using sub-event detection. IEEE International Conference on Computer Engineering and Systems (ICCES).
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589. Chen, T., Wang, Y., Wang, S., & Chen, S. (2017). Exploring Domain Knowledge for Affective Video Content Analyses. ACM International Conference on Multimedia.
590. Wang, H., Yang, L., Wu, X., & He, J. (2017). A review of bloody violence in video classification. IEEE International Conference on the Frontiers and Advances in Data Science (FADS).
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599. Calumby, R. T., do Carmo Araujo, I. B. A., Cordeiro, F. S., Bertoni, F., Canuto, S. D., Belém, F., Gonçalves, M. A., Dourado, I. C., Munoz, J., Li, L., & others. (2017). Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval. MediaEval Working Notes Proceedings.
600. Dauban, N. (2017). DNN in the AcousticBrainz Genre Task 2017. MediaEval Working Notes Proceedings.
601. Kim, K., & Choi, J. (2017). ICSI in MediaEval 2017 Multi-Genre Music Task. MediaEval Working Notes Proceedings.
602. Peng, L., Bin, Y., Fu, X., Zhou, J., Yang, Y., & Shen, H. T. (2017). CFM@ MediaEval 2017 Retrieving Diverse Social Images Task via Re-ranking and Hierarchical Clustering. MediaEval Working Notes Proceedings.
603. Wang, B., & Larson, M. (2017). Exploiting visual-based intent classifcation for Diverse Social Image Retrieval. MediaEval Working Notes Proceedings.
604. Fonseca, G. B. D., Freire, I. L., Jr, Z. P., Guimarães, S. J. F., Sargent, G., Sicre, R., & Gravier, G. (2017). Tag Propagation Approaches within Speaking Face Graphs for Multimodal Person Discovery. ACM International Workshop on Content-Based Multimedia Indexing.
605. Navarro, D. R. (2017). Multimodal Deep Learning methods for person annotation in video sequences. PhD Thesis.
606. Zahálka, J. (2017). The machine in multimedia analytics.
607. Domènech, D. F. (2017). Knowledge-based and data-driven approaches for geographical information access. PhD Thesis.
608. Celik, E. (2017). Affective analysis of videos: detecting emotional content in real-life scenarios. PhD Thesis.
609. Qi, F., Yang, X., Zhang, T., & Xu, C. (2017). Discriminative Multimodal Embedding for Event Classication.
610. Agrawal, T., Gupta, R., & Narayanan, S. (2017). Multimodal detection of fake social media use through a fusion of classification and pairwise ranking systems. IEEE European Signal Processing Conference (EUSIPCO).
611. Truelove, M. (2017). Witnesses of events in social media. PhD Thesis.
612. Thomas, T. P. (2017). The Emotional Impact of Audio-Visual Stimuli. PhD Thesis.
613. Thomas, T., Domínguez, M., & Ptucha, R. (2017). Deep independent audio-visual affect analysis. IEEE Global Conference on Signal and Information Processing (GlobalSIP).
614. Xue, J., & Eguchi, K. (2017). Video Data Modeling Using Sequential Correspondence Hierarchical Dirichlet Processes. IEICE TRANSACTIONS on Information and Systems.
615. Xiang, S., Rong, W., Xiong, Z., Gao, M., & Xiong, Q. (2017). Visual and Audio Aware Bi-Modal Video Emotion Recognition. CogSci.
616. White, J., & Oard, D. W. (2017). Simulating Zero-Resource Spoken Term Discovery. ACM on Conference on Information and Knowledge Management.
617. van Hout, J., Mitra, V., Franco, H., Bartels, C., & Vergyri, D. (2017). Tackling unseen acoustic conditions in query-by-example search using time and frequency convolution for multilingual deep bottleneck features. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
618. Alsaedi, N. (2017). Event identification in social media using classification-clustering framework. PhD Thesis.
619. Reddy, P. R., Murty, K. S. R., & Yegnanarayana, B. (2017). Representation Learning for Spoken Term Detection. Pattern Recognition and Big Data.
620. Madhavi, M. C., & Patil, H. A. (2017). Two Stage Zero-resource Approaches for QbE-STD. IEEE International Conference on Advances in Pattern Recognition (ICAPR).
621. Vukotic, V. (2017). Deep neural architectures for automatic representation learning from multimedia multimodal data. PhD Thesis.
622. Wang, Y., Ma, F., Jin, Z., Yuan, Y., Xun, G., Jha, K., Su, L., & Gao, J. (2018). Eann: Event adversarial neural networks for multi-modal fake news detection. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.
623. Boididou, C., Middleton, S. E., Jin, Z., Papadopoulos, S., Dang-Nguyen, D. T., Boato, G., & Kompatsiaris, Y. (2018). Verifying information with multimedia content on twitter. Multimedia Tools and Applications.
624. Cohendet, R., Yadati, K., Duong, N. Q. K., & Demarty, C. H. (2018). Annotating, understanding, and predicting long-term video memorability. ACM International Conference on Multimedia Retrieval.
625. Nogueira, K., Fadel, S. G., Dourado, Í. C., de O Werneck, R., Muñoz, J. A. V., Penatti, O. A. B., Calumby, R. T., Li, L. T., dos Santos, J. A., & da S Torres, R. (2018). Exploiting ConvNet diversity for flooding identification. IEEE Geoscience and Remote Sensing Letters.
626. Boididou, C., Papadopoulos, S., Zampoglou, M., Apostolidis, L., Papadopoulou, O., & Kompatsiaris, Y. (2018). Detection and visualization of misleading content on Twitter. International Journal of Multimedia Information Retrieval.
627. Ram, D., Asaei, A., & Bourlard, H. (2018). Sparse subspace modeling for query by example spoken term detection. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP).
628. Deldjoo, Y., Constantin, M. G., Ionescu, B., Schedl, M., & Cremonesi, P. (2018). Mmtf-14k: A multifaceted movie trailer feature dataset for recommendation and retrieval. ACM Multimedia Systems Conference.
629. Squalli-Houssaini, H., Duong, N. Q. K., Gwenaëlle, M., & Demarty, C. H. (2018). Deep learning for predicting image memorability. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
630. Murauer, B., & Specht, G. (2018). Detecting Music Genre Using Extreme Gradient Boosting. Companion of the The Web Conference.
631. Erdélyi, A., Winkler, T., & Rinner, B. (2018). Privacy protection vs. utility in visual data. Multimedia Tools and Applications.
632. Ahmad, K., Sohail, A., Conci, N., & Natale, F. D. (2018). A Comparative study of Global and Deep Features for the analysis of user-generated natural disaster related images. IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
633. Ram, D., Miculicich, L., & Bourlard, H. (2018). CNN based query by example spoken term detection. INTERSPEECH.
634. Kirchknopf, A., Slijepcevic, D., Zeppelzauer, M., & Seidl, M. (2018). Detection of road passability from social media and satellite images. MediaEval Working Notes Proceedings.
635. Moumtzidou, A., Giannakeris, P., Andreadis, S., Mavropoulos, A., Meditskos, G., Gialampoukidis, I., Avgerinakis, K., Vrochidis, S., & Kompatsiaris, I. (2018). A multimodal approach in estimating road passability through a flooded area using social media and satellite images. MediaEval Working Notes Proceedings.
636. Lopez-Fuentes, L., Farasin, A., Skinnemoen, H., & Garza, P. (2018). Deep learning models for passability detection in flooded roads. MediaEval Working Notes Proceedings.
637. Madhavi, M. C., & Patil, H. A. (2018). Design of mixture of GMMs for Query-by-Example spoken term detection. Computer Speech and Language.
638. Vavrek, J., Viszlay, P., Lojka, M., Juhár, J., & Pleva, M. (2018). Weighted fast sequential DTW for multilingual audio Query-by-Example retrieval. Journal of Intelligent Information Systems.
639. Lommatzsch, A., & Kille, B. (2018). Baseline Algorithms for Predicting the Interest in News based on Multimedia Data. Proceedings of the MediaEval Workshop.
640. Deldjoo, Y. (2018). Video recommendation by exploiting the multimedia content. PhD Thesis.
641. Larson, M., Liu, Z., Brugman, S. F. B., & Zhao, Z. (2018). Pixel Privacy. Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. MediaEval Working Notes Proceedings.
642. Ceroni, A. (2018). Personal Photo Management and Preservation. Personal Multimedia Preservation.
643. Singh, S. K., & Rafiei, D. (2018). Strategies for geographical scoping and improving a gazetteer. ACM International Conference on World Wide Web.
644. Liu, Y., Gu, Z., Ko, T. H., & Hua, K. A. (2018). Learning perceptual embeddings with two related tasks for joint predictions of media interestingness and emotions. ACM International Conference on Multimedia Retrieval.
645. Said, N., Pogorelov, K., Ahmad, K., Riegler, M., Ahmad, N., Ostroukhova, O., Halvorsen, P., & Conci, N. (2018). Deep learning approaches for flood classification and flood aftermath detection. MediaEval Working Notes Proceedings.
646. Dao, M. S., Minh, P. Q. N., Kasem, A., & Nazmudeen, N. S. H. (2018). A Context-Aware Late-Fusion Approach for Disaster Image Retrieval from Social Media. International Conference on Multimedia Retrieval.
647. Bracamonte, T., Bustos, B., Poblete, B., & Schreck, T. (2018). Extracting semantic knowledge from web context for multimedia IR: a taxonomy, survey and challenges. Multimedia Tools and Applications.
648. Ben-Ahmed, O., & Huet, B. (2018). Deep Multimodal Features for Movie Genre and Interestingness Prediction. IEEE International Conference on Content-Based Multimedia Indexing (CBMI).
649. Parekh, J., Tibrewal, H., & Parekh, S. (2018). Deep pairwise classification and ranking for predicting media interestingness. ACM International Conference on Multimedia Retrieval.
650. Marquant, G., Demarty, C. H., Chamaret, C., Sirot, J., & Chevallier, L. (2018). Interestingness Prediction and its Application to Immersive Content. IEEE International Conference on Content-Based Multimedia Indexing (CBMI).
651. Maigrot, C., Claveau, V., & Kijak, E. (2018). Fusion-based multimodal detection of hoaxes in social networks. IEEE/WIC/ACM International Conference on Web Intelligence (WI).
652. Serrano, I., Deniz, O., Espinosa-Aranda, J. L., & Bueno, G. (2018). Fight Recognition in Video Using Hough Forests and 2D Convolutional Neural Network. IEEE Transactions on Image Processing.
653. Xue, J., & Eguchi, K. (2018). Supervised nonparametric multimodal topic modeling methods for multi-class video classification. ACM International Conference on Multimedia Retrieval.
654. Xue, J., & Eguchi, K. (2018). Sequential Bayesian nonparametric multimodal topic models for video data analysis. IEICE Transactions on Information and Systems.
655. Zhang, X., Zhao, Z., Zhang, H., Wang, S., & Li, Z. (2018). Unsupervised geographically discriminative feature learning for landmark tagging. Knowledge-Based Systems.
656. Palaiokrassas, G., Voulodimos, A., Litke, A., Papaoikonomou, A., & Varvarigou, T. (2018). A Distance-Dependent Chinese Restaurant Process Based Method for Event Detection on Social Media. Inventions.
657. Brugman, S. F. B., Wysokinski, M., & Larson, M. (2018). Exploring Three Views on Image Enhancement for Pixel Privacy. MediaEval Working Notes Proceedings.
658. Thambawita, V., Jha, D., Riegler, M., Halvorsen, P., Hammer, H. L., Johansen, H. D., & Johansen, D. (2018). The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. MediaEval Working Notes Proceedings.
659. Ciobanu, A., Lommatzsch, A., & Kille, B. (2018). Predicting the Interest in News based On Image Annotations. MediaEval Working Notes Proceedings.
660. Cohendet, R., Demarty, C. H., Duong, N. Q. K., & Engilberge, M. (2018). VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability. ArXiv Preprint.
661. Rohm, M., Ionescu, B., Gînscă, A. L., Santos, R. L. T., & Müller, H. (2018). Subdiv17: a dataset for investigating subjectivity in the visual diversification of image search results. ACM Multimedia Systems Conference.
662. Oramas, S., Bogdanov, D., & Porter, A. (2018). MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets. MediaEval Working Notes Proceedings.
663. Nadeem, S., Tahir, M. A., Naqvi, S. S. A., & Zaid, M. (2018). Ensemble of Texture and Deep Learning Features for Finding Abnormalities in the Gastro-Intestinal Tract. International Conference on Computational Collective Intelligence.
664. Taschwer, M., Primus, M. J., Schoeffmann, K., & Marques, O. (2018). Early and Late Fusion of Classifiers for the MediaEval Medico Task. MediaEval Working Notes Proceedings.
665. Smeaton, A. F., Corrigan, O., Dockree, P., Gurrin, C., Healy, G., Hu, F., McGuinness, K., Mohedano, E., & Ward, T. E. (2018). Dublin’s participation in the predicting media memorability task at MediaEval 2018. MediaEval Working Notes Proceedings.
666. Galuščáková, P. (2018). Information retrieval and navigation in audio-visual archives. PhD Thesis.
667. Cao, J. (2018). Large-scale content management and retrieval for social media. PhD Thesis.
668. Yi, Y., & Wang, H. (2018). Multi-modal learning for affective content analysis in movies. Multimedia Tools and Applications.
669. Zhao, Z., Larson, M. A., & Oostdijk, N. H. J. (2018). Exploiting Local Semantic Concepts for Flooding-related Social Image Classification. MediaEval Working Notes Proceedings.
670. Sarman, S., & Sert, M. (2018). Audio based violent scene classification using ensemble learning. IEEE International Symposium on Digital Forensic and Security (ISDFS).
671. Werneck, R. D. O., Dourado, I. C., Fadel, S. G., Tabbone, S., & Torres, R. S. (2018). Graph-Based Early-Fusion for Flood Detection. IEEE International Conference on Image Processing (ICIP).
672. Cheng, X., Zhang, X., Xu, M., & Zheng, T. F. (2018). MMANN: Multimodal Multilevel Attention Neural Network for Horror Clip Detection. IEEE Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
673. Nole, T. J. B. (2018). Improving web multimedia information retrieval using social data. PhD Thesis.
674. Zhang, X., Cheng, X., Xu, M., & Zheng, T. F. (2018). Imbalance Learning-based Framework for Fear Recognition in the MediaEval Emotional Impact of Movies Task. Interspeech.
675. Khokher, M. R. (2018). Audio-visual Video Recognition Through Super Descriptor Tensor Decomposition and Low-rank and Sparse Representation. PhD Thesis.
676. Zou, B., Nurudeen, M., Zhu, C., Zhang, Z., Zhao, R., & Wang, L. (2018). A Neuro-Fuzzy Crime Prediction Model Based on Video Analysis. Chinese Journal of Electronics.
677. Wang, S., Chen, S., Zhao, J., & Jin, Q. (2018). Video Interestingness Prediction Based on Ranking Model. ACM Joint Workshop of the 4th Workshop on Affective Social Multimedia Computing and First Multi-Modal Affective Computing of Large-Scale Multimedia Data.
678. Atto, A. M., Benoît, A., & Lambert, P. (2018). Hilbert Based Video To Timed-Image Filling and Learning To Recognize Visual Violence.
679. Maigrot, C., Kijak, E., & Claveau, V. (2018). Fusion par apprentissage pour la détection de fausses informations dans les réseaux sociaux. Document Numerique.
680. Timar, Y., Karslioglu, N., Kaya, H., & Salah, A. A. (2018). Feature Selection and Multimodal Fusion for Estimating Emotions Evoked by Movie Clips. ACM International Conference on Multimedia Retrieval.
681. Muszynski, M. (2018). Recognizing film aesthetics, spectators’ affect and aesthetic emotions from multimodal signals. PhD Thesis.
682. Hou, C., Wu, X., & Wang, G. (2018). End-to-End Bloody Video Recognition by Audio-Visual Feature Fusion. Chinese Conference on Pattern Recognition and Computer Vision.
683. Nandigam, N. R. (2018). MDRED: Multi-Modal Multi-Task Distributed Recognition for Event Detection. PhD Thesis.
684. Khwileh, A. (2018). Towards effective cross-lingual search of user-generated internet speech. PhD Thesis.
685. Borgli, R. J., Halvorsen, P., Riegler, M., & Stensland, H. K. (2018). Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task. MediaEval Working Notes Proceedings.
686. Lux, M., Riegler, M., Dang-Nguyen, D. T., Larson, M., Potthast, M., & Halvorsen, P. (2018). Team ORG@ GameStory Task 2018. MediaEval Working Notes Proceedings.
687. Wang, S., Wang, W., Chen, S., & Jin, Q. (2018). RUC at MediaEval 2018: Visual and Textual Features Exploration for Predicting Media Memorability. MediaEval Working Notes Proceedings.
688. Wutti, M. (2018). Automated Killstreak Extraction in CS: GO Tournaments. MediaEval Working Notes Proceedings.
689. Gupta, R., & Motwani, K. (2018). Linear Models for Video Memorability Prediction Using Visual and Semantic Features. MediaEval Working Notes Proceedings.
690. Liu, Y., Gu, Z., & Ko, T. H. (2018). Analyzing Human Behavior in Subspace: Dimensionality Reduction+ Classification. MediaEval Working Notes Proceedings.
691. Cabrera-Quiros, L., Gedik, E., & Hung, H. (2018). Transductive Parameter Transfer, Bags of Dense Trajectories and MILES for No-Audio Multimodal Speech Detection. MediaEval Working Notes Proceedings.
692. Hicks, S. A., Smedsrud, P. H., Halvorsen, P., & Riegler, M. (2018). Deep Learning Based Disease Detection Using Domain Specific Transfer Learning. MediaEval Working Notes Proceedings.
693. Ko, T. H., Gu, Z., & Liu, Y. (2018). Weighted Discriminant Embedding: Discriminant Subspace Learning for Imbalanced Medical Data Classification. MediaEval Working Notes Proceedings.
694. Sun, W., & Zhang, X. (2018). Video Memorability Prediction with Recurrent Neural Networks and Video Titles at the 2018 MediaEval Predicting Media Memorability Task. MediaEval Working Notes Proceedings.
695. Nazary, F., & Deldjoo, Y. (2018). Movie Rating Prediction using Multimedia Content and Modeling as a Classification Problem. MediaEval Working Notes Proceedings.
696. Joshi, T., Sivaprasad, S., Bhat, S., & Pedanekar, N. (2018). Multimodal Approach to Predicting Media Memorability. MediaEval Working Notes Proceedings.
697. Khan, Z., & Tahir, M. A. (2018). Majority voting of Heterogeneous Classifiers for finding abnormalities in the Gastro-Intestinal Tract. MediaEval Working Notes Proceedings.
698. Schreiber, H. (2018). MediaEval 2018 AcousticBrainz Genre Task: A CNN Baseline Relying on Mel-Features. MediaEval Working Notes Proceedings.
699. Dias, D., & Dias, U. (2018). Transfer learning with CNN architectures for classifying gastrointestinal diseases and anatomical landmarks. MediaEval Working Notes Proceedings.
700. Ostroukhova, O., Pogorelov, K., Riegler, M., Dang-Nguyen, D. T., & Halvorsen, P. (2018). Transfer learning with prioritized classification and training dataset equalization for medical objects detection. MediaEval Working Notes Proceedings.
701. Liu, Y., Gu, Z., & Ko, T. H. (2018). Learning Memorability Preserving Subspace for Predicting Media Memorability. MediaEval Working Notes Proceedings.
702. Tran-Van, D. T., Tran, L. V., & Tran, M. T. (2018). Predicting Media Memorability Using Deep Features and Recurrent Network. MediaEval Working Notes Proceedings.
703. Weiss, A., Sang, B., & Yoon, S. (2018). Predicting Memorability via Early Fusion Deep Neural Network. MediaEval Working Notes Proceedings.
704. Savii, R. M., dos Santos, S. F., & Almeida, J. (2018). GIBIS at MediaEval 2018: Predicting Media Memorability Task. MediaEval Working Notes Proceedings.
705. Chaudhry, R., Kilaru, M., & Shekhar, S. (2018). Show and Recall@ MediaEval 2018 ViMemNet: Predicting Video Memorability. MediaEval Working Notes Proceedings.
706. Cohendet, R., Demarty, C. H., & Duong, N. Q. K. (2018). Transfer learning for video memorability prediction. MediaEval Working Notes Proceedings.
707. Ko, T. H., Gu, Z., He, T., & Liu, Y. (2018). Towards Learning Emotional Subspace. MediaEval Working Notes Proceedings.
708. Loughridge, C., & Moseyko, J. (2018). IM-JAIC at MediaEval 2018 Emotional Impact of Movies Task. MediaEval Working Notes Proceedings.
709. Sun, J. J., Liu, T., & Prasad, G. (2018). GLA in MediaEval 2018 Emotional Impact of Movies Task. MediaEval Working Notes Proceedings.
710. Hanif, M., Tahir, M. A., & Rafi, M. (2018). Detection of passable roads using Ensemble of Global and Local. MediaEval Working Notes Proceedings.
711. Lopez-Otero, P., & Docio-Fernandez, L. (2018). Converted Mel-Cepstral Coefficients for Gender Variability Reduction in Query-by-Example Spoken Document Retrieval. Isca-Speech.org.
712. Batziou, E., Michail, E., Avgerinakis, K., Vrochidis, S., Patras, I., & Kompatsiaris, I. (2018). Visual and audio analysis of movies video for emotion detection@ Emotional Impact of Movies task MediaEval 2018. MediaEval Working Notes Proceedings.
713. Dias, D., & Dias, U. (2018). Flood detection from social multimedia and satellite images using ensemble and transfer learning with CNN architectures. MediaEval Working Notes Proceedings.
714. Bischke, B., Helber, P., & Dengel, A. (2018). Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia. MediaEval Working Notes Proceedings.
715. Yi, Y., Wang, H., & Li, Q. (2018). CNN Features for Emotional Impact of Movies Task. MediaEval Working Notes Proceedings.
716. Yang, Y. M. (2018). Short-time emotion tracker using a convolutional autoencoder.
717. Quan, K. A. C., Nguyen, V. T., & Tran, M. T. (2018). Frame-based Evaluation with Deep Features to Predict Emotional Impact of Movies. MediaEval Working Notes Proceedings.
718. Feng, Y., Shebotnov, S., Brenner, C., & Sester, M. (2018). Ensembled convolutional neural network models for retrieving flood relevant tweets. Image.
719. Ramı́rez G, Villatoro, E., Ionescu, B., Escalante, H. J., Escalera, S., Larson, M., Müller, H., & Guyon, I. (2018). Overview of the multimedia information processing for personality & social networks analysis contest. International Conference on Pattern Recognition, 127–139.
720. Yang, Z., Li, Q., Wenyin, L., & Lv, J. (2019). Shared Multi-view Data Representation for Multi-domain Event Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence.
721. Jony, R. I., Woodley, A., Raj, A., & Perrin, D. (2018). Ensemble Classification Technique for Water Detection in Satellite Images. 2018 Digital Image Computing: Techniques and Applications (DICTA), 1–8.
722. mo Yang, Y. (2019). Short-time Emotion Tracker Using a Convolutional Autoencoder. ECE Department at University of Rochester.
723. Liu, H., Fang, Y., & Huang, Q. (2019). Music Emotion Recognition Using a Variant of Recurrent Neural Network. 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018).
724. Fukayama, S., & Goto, M. (2019). System, method, and computer program for estimation of target value. In US Patent App. 16/070,144.
725. Guo, J., Song, B., Zhang, P., Ma, M., & Luo, W. (2019). Affective video content analysis based on multimodal data fusion in heterogeneous networks. Information Fusion, 51, 224–232.
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730. Larson, M., Choi, J., Slokom, M., Erkin, Z., Friedland, G., & de Vries, A. P. (2019). Privacy and Audiovisual Content: Protecting Users as Big Multimedia Data Grows Bigger. Big Data Analytics for Large-Scale Multimedia Search, 183.
731. Bischke, B., Borth, D., & Dengel, A. (2019). Large-Scale Social Multimedia Analysis. Big Data Analytics for Large-Scale Multimedia Search, 157.
732. Khattar, D. (2019). Neural Approaches Towards Computational Journalism [PhD thesis]. In PhD Thesis. International Institute of Information Technology Hyderabad.
733. Madhavi, M. C., & Patil, H. A. (2019). Vocal Tract Length Normalization using a Gaussian mixture model framework for query-by-example spoken term detection. Computer Speech & Language, 58, 175–202.
734. Moumtzidou, A., Bakratsas, M., Andreadis, S., Gialampoukidis, I., Vrochidis, S., & Kompatsiaris, I. (2019). Road passability estimation using deep neural networks and sattelite image patches.
735. Li, C. Y., Shamsabadi, A. S., Sanchez-Matilla, R., Mazzon, R., & Cavallaro, A. (2019). Scene privacy protection. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2502–2506.
736. Engilberge, M., Chevallier, L., Pérez, P., & Cord, M. (2019). SoDeep: a Sorting Deep net to learn ranking loss surrogates. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 10792–10801.
737. Ibrahim, Z. A. A., Haidar, S., & Sbeity, I. (2019). Large-scale Text-based Video Classification using Contextual Features. European Journal of Electrical Engineering and Computer Science, 3(2).
738. Lago, F., Phan, Q. T., & Boato, G. (2019). Visual and Textual Analysis for Image Trustworthiness Assessment within Online News. Security and Communication Networks, 2019.
739. Peixoto, B., Lavi, B., Martin, J. P. P., Avila, S., Dias, Z., & Rocha, A. (2019). Toward Subjective Violence Detection in Videos. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 8276–8280.
740. Wang, S., Wang, C., Chen, T., Wang, Y., Shu, Y., & Ji, Q. (2019). Video Affective Content Analysis by Exploring Domain Knowledge. IEEE Transactions on Affective Computing.
741. Khattar, D., Goud, J. S., Gupta, M., & Varma, V. (2019). MVAE: Multimodal Variational Autoencoder for Fake News Detection. The World Wide Web Conference, 2915–2921.
742. Yuan, B., & Gao, X. (2019). Diversified textual features based image retrieval. Neurocomputing, 357, 116–124.
743. Benavent, X., Castellanos, A., de Ves, E., Garcı́a-Serrano Ana, & Cigarrán, J. (2019). FCA-based knowledge representation and local generalized linear models to address relevance and diversity in diverse social images. Future Generation Computer Systems, 100, 250–265.
744. Lux, M., Halvorsen, P., Dang-Nguyen, D.-T., Stensland, H., Kesavulu, M., Potthast, M., & Riegler, M. (2019). Summarizing E-Sports Matches and Tournaments. Workshop on Immersive Mixed and Virtual Environment Systems, Amherst, MA, USA.
745. Dong, Y., Yang, X., Zhao, X., & Li, J. (2019). Bidirectional Convolutional Recurrent Sparse Network (BCRSN): An Efficient Model for Music Emotion Recognition. IEEE Transactions on Multimedia.
746. Potthast, M., Gollub, T., Wiegmann, M., & Stein, B. (2019). TIRA Integrated Research Architecture. Information Retrieval Evaluation in a Changing World-Lessons Learned From, 20.
747. Dourado, I. C., Tabbone, S., & da Silva Torres, R. (2019). Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models. International Workshop on Graph-Based Representations in Pattern Recognition, 88–98.
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749. Wu, Z., Zhou, K., Liu, Y., Zhang, M., & Ma, S. (2019). Does Diversity Affect User Satisfaction in Image Search. ACM Transactions on Information Systems (TOIS), 37(3), 35.
750. Saravi, S., Kalawsky, R., Joannou, D., Rivas-Casado, M., Fu, G., & Meng, F. (2019). Use of artificial intelligence to improve resilience and preparedness against adverse flood events. Water, 11(5), 973.
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