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
Link To Document :
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