DocumentCode :
815993
Title :
Key Frame Estimation in Video Using Randomness Measure of Feature Point Pattern
Author :
Mukherjee, Dipti Prasad ; Das, Sitansu Kumar ; Saha, Subhra
Author_Institution :
Electron. & Commun. Sci. Unit, Indian Stat. Inst., Kolkata
Volume :
17
Issue :
5
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
612
Lastpage :
620
Abstract :
In this paper, a generalized statistical tool is introduced to estimate key frames in a video sequence. The tool works based on the inter-relationship between different features of image frames in a video. The image feature vectors are plotted in feature space as points and a randomness measure is determined from the distribution of these points. The randomness measure of the feature vectors is defined with respect to simulated random point patterns and expressed as a probability value of a frame being a key frame. Since, depending on the video content more than one inter-relationship of features can be used to determine a single key frame, different probability values are derived to support a frame as a key frame. To integrate these probability values a combiner model is designed to uniquely decide the status of a key frame. The combiner model is based on the Dempster-Shafer theory of evidence. To demonstrate the idea, randomness measures, and consequently the probabilities of a frame to be a key frame, are obtained separately from spatial domain and frequency domain features. The combined probability value enhances the confidence in selecting a frame as a key frame. The result is tested on a number of standard video sequences and it outperforms the related approach
Keywords :
feature extraction; frequency-domain analysis; image sequences; probability; video signal processing; evidence Dempster-Shafer theory; feature point pattern; frequency domain features; generalized statistical tool; image feature vectors; key frame estimation; randomness measure; spatial domain features; video content; video sequence; Codecs; Content based retrieval; Extraterrestrial measurements; Frequency domain analysis; Frequency measurement; Helium; Indexing; Streaming media; Testing; Video sequences; Dempster–Shafer (DS) theory of evidence; key frame; spatial randomness measure;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2007.895353
Filename :
4162553
Link To Document :
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