A Benchmarking Campaign for the Multimodal Detection of Violent Scenes in Movies
نویسندگان
چکیده
We present an international benchmark on the detection of violent scenes in movies, implemented as a part of the multimedia benchmarking initiative MediaEval 2011. The task consists in detecting portions of movies where physical violence is present from the automatic analysis of the video, sound and subtitle tracks. A dataset of 15 Hollywood movies was carefully annotated and divided into a development set and a test set containing 3 movies. Annotation strategies and resolution of borderline cases are discussed at length in the paper. Results from 29 runs submitted by the 6 participating sites are analyzed. The first year’s results are promising, but considering the use case, there is still a large room for improvement. The detailed analysis of the 2011 benchmark brings valuable insight for the implementation of future evaluation on violent scenes detection in movies.
منابع مشابه
Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking
This paper introduces a benchmark evaluation targeting the detection of violent scenes in Hollywood movies. The evaluation was implemented in 2011 and 2012 as an affect task in the framework of the international MediaEval benchmark initiative. We report on these two years of evaluation, providing a detailed description of the dataset created, describing the state-of-the-art by studying the resu...
متن کاملRFA at MediaEval 2015 Affective Impact of Movies Task: A Multimodal Approach
The MediaEval 2015 Affective Impact of Movies Task challenged participants to automatically find violent scenes in a set of videos and, also, to predict the affective impact that video content will have on viewers. We propose the use of several multimodal descriptors, such as visual, motion and auditory features, then we fuse their predictions to detect the violent or affective content. Our bes...
متن کاملMots audio-visuels joints pour la détection de scènes violentes dans les vidéos
This paper presents an audio-visual data representation for violent scenes detection in Hollywood movies. Existing works in this field consider either the audio or the visual information; or their shallow fusion. None has yet explored their joint dependence for violent scenes detection. We propose a feature which provides strong multimodal audio and visual cues by first joining the audio and th...
متن کاملAutomatic Violence Scenes Detection: A multi-modal approach
In this working note, we propose a set of features and a classification scheme for detecting automatically violent scenes in movies. The features are extracted from audio, video, and subtitles modalities of the movies. In violent scenes classification, we found the following features relevant: the short time audio energy, motion component, and shot words rate. We classified the shots into viole...
متن کاملTechnicolor/INRIA Team at the MediaEval 2013 Violent Scenes Detection Task
This paper presents the work done at Technicolor and INRIA regarding the MediaEval 2013 Violent Scenes Detection task, which aims at detecting violent scenes in movies. We participated in both the objective and the subjective subtasks.
متن کامل