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