DocumentCode :
3542543
Title :
Video annotation of TV content using audiovisual information
Author :
Mateus, João ; Malheiro, Frederico ; Cavaco, Sofia ; Correia, Nuno ; Jesus, Rui
Author_Institution :
Dept. de Inf., Univ. Nova de Lisboa, Caparica, Portugal
fYear :
2012
fDate :
10-12 May 2012
Firstpage :
113
Lastpage :
118
Abstract :
Content provider companies and televisions have large video archives but usually do not take full advantage of them. In order to assist the exploration of video archives, we developed ViewProcFlow, a tool to automatically extract metadata from video. This metadata is obtained by applying several state of the art video processing methods applied to a real world challenge: cut detection, face detection and object identification. In addition, we also developed a method to annotate videos with concepts from audio and visual information. The main novelty of this technique is the use of environmental sound recognition to annotate video. The goal is to supply the system with more information such that it has a better understanding of the content and also to enable better browse and search functionalities. This tool has been included in the workflow of a video production company, which confirms its success.
Keywords :
audio signal processing; audio-visual systems; face recognition; meta data; object recognition; video signal processing; TV content video annotation; ViewProcFlow; audiovisual information; content provider companies; cut detection; environmental sound recognition; face detection; metadata; object identification; televisions; video archives; video processing methods; video production company; Airplanes; Browsers; Robustness; TV; Thesauri; Training; Visualization; media annotation; object identification; video analysis; video production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location :
Tangier
Print_ISBN :
978-1-4673-1518-0
Type :
conf
DOI :
10.1109/ICMCS.2012.6320188
Filename :
6320188
Link To Document :
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