DocumentCode
3276927
Title
A Fast Method for Detection of Video Shot Boundaries Using Compressed Domain Features of H.264 for PVR Enabled Set Top Boxes: A Novel Approach
Author
Chattopadhyay, T. ; Chaki, Ayan ; Garain, Utpal
Author_Institution
Innovation Lab., Tata Consultancy Services Ltd., Kolkata, India
fYear
2009
fDate
23-25 July 2009
Firstpage
6
Lastpage
11
Abstract
In this paper authors have proposed an algorithm to automatically identify video shot boundaries using compressed domain features of H.264. In this method the compressed domain features of H.264 video obtained during encoding the video data is used to identify the shot boundaries. The features used in our approach are (i) Number of I macroblocks (MBs) in a P frame, (ii) No of Sub-blocks containing strong de-blocking filter edges and (iii) DC component of integer transformed luma coefficients. We compare these features in every two consecutive frames of video to decide whether there is a shot boundary or not. Experimental results show that the proposed approach can work in real time in any commercially available DSP platform and can detect the shot boundaries successfully. The system on different type of videos gives a recall rate of 1.0 and a precision rate of .877.
Keywords
data compression; filtering theory; recorders; video coding; video recording; DSP platform; H.264 video; PVR enabled set top boxes; deblocking filter edges; domain feature compression; integer transformed luma coefficients; macroblocks; personal video recorder; video shot boundary detection; Computer vision; Decoding; Digital signal processing; Encoding; Filters; Gunshot detection systems; Image coding; Transform coding; US Department of Transportation; Video compression; PVR; Set top box; compress domain shot boundary; h.264;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Communication Systems and Networks, 2009. CICSYN '09. First International Conference on
Conference_Location
Indore
Print_ISBN
978-0-7695-3743-6
Type
conf
DOI
10.1109/CICSYN.2009.48
Filename
5231630
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