Visual Objectification in Films: Towards a New AI Task for Video Interpretation
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
MObyGaze: a film dataset of multimodal objectification densely annotated by experts
Characterizing and quantifying gender representation disparities in audiovisual storytelling contents is necessary to grasp how stereotypes may perpetuate on screen. In this article, we consider the high-level construct …
Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels
Inspired by the concept of the male gaze (Mulvey, 1975) in literature and media studies, this paper proposes a framework for analyzing gender bias in terms of female objectification: the extent to which a text portrays f…
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
Recent advances in CoT reasoning and RL post-training have been reported to enhance video reasoning capabilities of MLLMs. This progress naturally raises a question: can these models perform complex video reasoning in a …
Multimodal ReasoningMultimodal Sexism Identification and Characterization using Large Language Models and Gradient Boosting
We present the AILS-NTUA submission to the EXIST 2026 Lab at CLEF, addressing multimodal sexism identification and characterization in memes (Task 2) and short-form videos (Task 3). Our system follows a feature-engineere…
Feature EngineeringBridging Your Imagination with Audio-Video Generation via a Unified Director
Existing AI-driven video creation systems typically treat script drafting and key-shot design as two disjoint tasks: the former relies on large language models, while the latter depends on image generation models. We arg…
Logical ReasoningVideo GenerationImage Generation