EURECOM @MediaEval 2017: Media genre inference for predicting media interestingness

Ben-Ahmed, Olfa; Wacker, Jonas; Gaballo, Alessandro; Huet, Benoit
MEDIAEVAL 2017, MediaEval Benchmarking Initiative for Multimedia Evaluation, 13-15 September 2017, Dublin, Ireland

In this paper, we present EURECOM's approach to address the MediaEval 2017 Predicting Media Interestingness Task. We developed models for both the image and video subtasks. In particular, we investigate the usage of media genre information (i.e., drama, horror, etc.) to predict interestingness. Our approach is related to the affective impact of media content and is shown to be effective in predicting interestingness for both video shots and key-frames.


Type:
Conférence
City:
Dublin
Date:
2017-09-13
Department:
Data Science
Eurecom Ref:
5345
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/5345