Visual Objectification in Films: Towards a New AI Task for Video Interpretation

Julie Tores, Lucile Sassatelli, Hui-Yin Wu, Clement Bergman, Léa Andolfi, Victor Ecrement, Frédéric Precioso, Thierry Devars, Magali Guaresi, Virginie Julliard, Sarah Lecossais; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 10864-10874

Abstract

In film gender studies the concept of "male gaze" refers to the way the characters are portrayed on-screen as objects of desire rather than subjects. In this article we introduce a novel video-interpretation task to detect character objectification in films. The purpose is to reveal and quantify the usage of complex temporal patterns operated in cinema to produce the cognitive perception of objectification. We introduce the ObyGaze12 dataset made of 1914 movie clips densely annotated by experts for objectification concepts identified in film studies and psychology. We evaluate recent vision models show the feasibility of the task and where the challenges remain with concept bottleneck models. Our new dataset and code are made available to the community.

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[bibtex]
@InProceedings{Tores_2024_CVPR, author = {Tores, Julie and Sassatelli, Lucile and Wu, Hui-Yin and Bergman, Clement and Andolfi, L\'ea and Ecrement, Victor and Precioso, Fr\'ed\'eric and Devars, Thierry and Guaresi, Magali and Julliard, Virginie and Lecossais, Sarah}, title = {Visual Objectification in Films: Towards a New AI Task for Video Interpretation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2024}, pages = {10864-10874} }