EURECOM @MediaEval 2017: Media Genre Inference for Predicting Media Interestingness

Описание к видео EURECOM @MediaEval 2017: Media Genre Inference for Predicting Media Interestingness

Presenter: Benoit Huet

Paper: http://ceur-ws.org/Vol-1984/Mediaeval...
Slides: https://www.slideshare.net/multimedia...

Authors: Olfa Ben Ahmed, Jonas Wacker, Alessandro Gaballo, Benoit Huet

Abstract: 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.

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