The MediaEval 2015 Affective Impact of Movies Task

This paper provides a description of the MediaEval 2015 \Aective Impact of Movies Task", which is running for the fth year, previously under the name \Violent Scenes Detection". In this year’s task, participants are expected to create systems that automatically detect video content that depicts violence, or predict the aective impact that video content will have on viewers. Here we provide insights on the use case, task challenges, data set and ground truth, task run requirements and evaluation metrics.

[1]  Markus Schedl,et al.  A naive mid-level concept-based fusion approach to violence detection in Hollywood movies , 2013, ICMR '13.

[2]  Marko Horvat,et al.  Multimedia stimuli databases usage patterns: a survey report , 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[3]  Patrick Gros,et al.  Multimodal information fusion and temporal integration for violence detection in movies , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[4]  Emmanuel Dellandréa,et al.  LIRIS-ACCEDE: A Video Database for Affective Content Analysis , 2015, IEEE Transactions on Affective Computing.

[5]  Alan Hanjalic,et al.  Affective video content representation and modeling , 2005, IEEE Transactions on Multimedia.

[6]  Emmanuel Dellandréa,et al.  From crowdsourced rankings to affective ratings , 2014, 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

[7]  Mohammad Soleymani,et al.  Corpus Development for Affective Video Indexing , 2012, IEEE Transactions on Multimedia.

[8]  Kiyoharu Aizawa,et al.  Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification , 2010, IEEE Transactions on Multimedia.

[9]  Shiliang Zhang,et al.  Affective Visualization and Retrieval for Music Video , 2010, IEEE Transactions on Multimedia.

[10]  Frank Hopfgartner,et al.  Violence detection in hollywood movies by the fusion of visual and mid-level audio cues , 2013, ACM Multimedia.