Affective video content representation and modeling, IEEE Transactions on Multimedia, vol.7, issue.1, pp.143-154, 2005. ,
DOI : 10.1109/TMM.2004.840618
A Bayesian framework for video affective representation, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, pp.1-7, 2009. ,
DOI : 10.1109/ACII.2009.5349563
Combining modality specific deep neural networks for emotion recognition in video, Proceedings of the 15th ACM on International conference on multimodal interaction, pp.543-550, 2013. ,
Features for multimodal emotion recognition: An extensive study, 2010 IEEE Conference on Cybernetics and Intelligent Systems, pp.90-95, 2010. ,
DOI : 10.1109/ICCIS.2010.5518574
Affective content detection using HMMs, Proceedings of the eleventh ACM international conference on Multimedia , MULTIMEDIA '03, pp.259-262, 2003. ,
DOI : 10.1145/957013.957066
Affective mtv analysis based on arousal and valence features, Multimedia and Expo IEEE International Conference on, pp.1369-1372, 2008. ,
Affective Visualization and Retrieval for Music Video, IEEE Transactions on Multimedia, vol.12, issue.6, pp.510-522, 2010. ,
DOI : 10.1109/TMM.2010.2059634
Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification, IEEE Transactions on Multimedia, vol.12, issue.6, pp.523-535, 2010. ,
DOI : 10.1109/TMM.2010.2051871
Understanding Affective Content of Music Videos through Learned Representations, MultiMedia Modeling, pp.303-314, 2014. ,
DOI : 10.1007/978-3-319-04114-8_26
Fusion of learned multi-modal representations and dense trajectories for emotional analysis in videos, 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), pp.1-6, 2015. ,
DOI : 10.1109/CBMI.2015.7153603
MIC-TJU in MediaEval 2015 affective impact of movies task, 2015. ,
Overfeat: Integrated recognition, localization and detection using convolutional networks, 2013. ,
Fudan-huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with deep learning, 2015. ,
KIT at MediaEval 2015?Evaluating visual cues for affective impact of movies task, 2015. ,
UMons at MediaEval 2015 Affective Impact of Movies Task including violent scenes detection, 2015. ,
The MediaEval 2015 Affective Impact of Movies Task, MediaEval 2015 Workshop, 2015. ,
Affective judgment and psychophysiological response: Dimensional covariation in the evaluation of pictorial stimuli, Journal of psychophysiology, vol.3, issue.1, pp.51-64, 1989. ,
International affective picture system (iaps): Technical manual and affective ratings, NIMH Center for the Study of Emotion and Attention, pp.39-58, 1997. ,
Very deep convolutional networks for large-scale image recognition, 2014. ,
LIRIS-ACCEDE: A Video Database for Affective Content Analysis, IEEE Transactions on Affective Computing, vol.6, issue.1, pp.43-55, 2015. ,
DOI : 10.1109/TAFFC.2015.2396531
URL : https://hal.archives-ouvertes.fr/hal-01375518
HMDB: A large video database for human motion recognition, 2011 International Conference on Computer Vision, pp.2556-2563, 2011. ,
DOI : 10.1109/ICCV.2011.6126543
TCS-ILAB-MediaEval 2015: Affective Impact of Movies and Violent Scene Detection, 2015. ,
Rfa at MediaEval 2015 Affective Impact of Movies Task: A multimodal approach ,
On rectified linear units for speech processing, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3517-3521, 2013. ,
DOI : 10.1109/ICASSP.2013.6638312