Title
Context-dependent audio-visual and temporal features fusion for TV commercial detection
Abstract
Automatic TV commercial block detection is a key component of an intelligent commercial management system. Rather than utilizing exclusively audio-visual characteristics like most previous works, We have proposed a SVM-DP scheme to collaboratively exploit audio-visual and global temporal characteristics associated with commercials. Firstly, likelihood values of commercial and general program are calculated by context-dependent audio-visual features and SVM-based classifiers for each video shot. And then, these values are considered as observations of a two states markov chain, providing assistance for merging shots into blocks. At last, Minimum Duration Constraint (MDC) and Maximum Segment Constraint (MSC) which grasp the global temporal characteristics are presented to search optimal combination path with Dynamic Programming approaches, respectively. Experiments performed on real video data from TV channels in China show the effectiveness of the proposed scheme.
Year
DOI
Venue
2013
10.1109/ISCAS.2013.6571768
ISCAS
Keywords
Field
DocType
video signal processing,msc,maximum segment constraint,intelligent commercial management system,information retrieval,svm-dp scheme,dynamic programming approaches,minimum duration constraint,context-dependent audio-visual features,svm-based classifiers,feature extraction,image classification,mdc,two states markov chain,optimal combination path,audio-visual systems,automatic tv commercial block detection,markov processes,support vector machines,global temporal characteristics,visualization,robustness,dynamic programming,tv
Dynamic programming,Computer vision,GRASP,Markov process,Pattern recognition,Computer science,Support vector machine,Markov chain,Communication channel,Feature extraction,Artificial intelligence,Contextual image classification
Conference
Volume
Issue
ISSN
null
null
0271-4302
ISBN
Citations 
PageRank 
978-1-4673-5760-9
0
0.34
References 
Authors
8
3
Name
Order
Citations
PageRank
Bo Zhang111611.83
Jiancheng Zou2104.41
Bo Xu324136.59