DocumentCode
1841621
Title
Video Mosaic Block Detection Based on Template Matching and SVM
Author
Huang, Xiaodong ; Ma, Huadong ; Yuan, Haidong
Author_Institution
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing
fYear
2008
fDate
18-21 Nov. 2008
Firstpage
1082
Lastpage
1086
Abstract
Mosaic block is easily occurred in the TV signals, which will cause the degraded video. In this paper, we propose an automatic degraded video detection approach based on support vector machine and template matching to detecting mosaic block in video. We develop a detection algorithm based on a cascade of processing steps as follows. First, we use DWT to remove the vertical high frequency of a frame and use the Canny edge algorithm to detect the frame. Second, we use the template matching to find the candidate mosaic block coordinate. Third, a SVM classifier is employed to distinguish mosaic block from the candidate ones. When the number of mosaic block is higher than a threshold, we can regard the frame as the frame with mosaic block. Experimental results show that the proposed algorithm has good performance.
Keywords
discrete wavelet transforms; edge detection; image classification; image matching; image segmentation; support vector machines; video signal processing; Canny edge algorithm; SVM classifier; TV signal; candidate blocking artifact coordinate; discrete wavelet transform; support vector machine; template matching; video mosaic block detection; Degradation; Detectors; Histograms; Image restoration; Machine intelligence; Motion estimation; Support vector machines; Telecommunication computing; Video compression; Videoconference; SVM; degraded video; mosaic blocking; template matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location
Hunan
Print_ISBN
978-0-7695-3398-8
Electronic_ISBN
978-0-7695-3398-8
Type
conf
DOI
10.1109/ICYCS.2008.69
Filename
4709125
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