DocumentCode :
720881
Title :
VSD2014: A dataset for violent scenes detection in hollywood movies and web videos
Author :
Schedi, Markus ; Sjoberg, Mats ; Mironica, Ionut ; Ionescu, Bogdan ; Vu Lam Quang ; Yu-Gang Jiang ; Demarty, Claire-Helene
Author_Institution :
Johannes Kepler Univ., Linz, Austria
fYear :
2015
fDate :
10-12 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we introduce a violent scenes and violence-related concept detection dataset named VSD2014. It contains annotations as well as auditory and visual features of Hollywood movies and user-generated footage shared on the web. The dataset is the result of a joint annotation endeavor of different research institutions and responds to the real-world use case of parental guidance in selecting appropriate content for children. The dataset has been validated during the Violent Scenes Detection (VSD) task at the MediaEval benchmarking initiative for multimedia evaluation.
Keywords :
Internet; multimedia systems; user interfaces; video signal processing; MediaEval benchmarking initiative; VSD2014; Web videos; hollywood movies; multimedia evaluation; user-generated footage; violence-related concept detection dataset; violent scenes detection; Electronic mail; Image color analysis; Motion pictures; Prediction algorithms; Videos; Visualization; YouTube;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2015 13th International Workshop on
Conference_Location :
Prague
Type :
conf
DOI :
10.1109/CBMI.2015.7153604
Filename :
7153604
Link To Document :
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