DocumentCode :
2481966
Title :
Video Syntactic Coding for Data Compression
Author :
Sheraizin, S. ; Itzikowitz, S. ; Sheraizin, V.
Author_Institution :
Comput. Sci. Dept., Coll. of Manage., Rishon Lezion
fYear :
0
fDate :
0-0 0
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we present our new approach to video data preparation for a data compression enhancement named video data syntactic coding. Video data standard encoders MPEG, H.26x use data preparation (preprocessing) based on either data spatial and temporal filtering or on video sequence complexity analysis (by auxiliary encoder use) that is exploited for video filtering. However, preprocessing efficiency is only 10% up to 15%. Our video data syntactic coding presented here is based on both video content complexity assessment in accordance with the named standard encoding algorithm (MC-DPCM) and data filtering adopted to the video complexity and a digital visual perception. The complexity is estimated by data entropy calculation based on averaging of histogram frame-to-frame changes. In addition, the histogram change is used for detection of new details appearance and their in-frame position determination. The video data model is based on a detail visual perception, and the above video content analysis results provide effective video data pre-filtering. The developed video syntactic coding used together with H.264 standard encoders presents up to 25% data compression enhancement
Keywords :
code standards; data compression; data preparation; entropy codes; image enhancement; image sequences; video coding; visual perception; H.264 standard encoder; MPEG; data compression enhancement; digital visual perception; entropy calculation; in-frame position determination; spatial filtering; temporal filtering; video data preparation; video data syntactic coding; video filtering; video sequence complexity analysis; Change detection algorithms; Data compression; Digital filters; Encoding; Filtering algorithms; Histograms; Transform coding; Video compression; Video sequences; Visual perception; Data entropy; Video complexity; Video content complexity assessment; Video syntactic coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2006. ISCE '06. 2006 IEEE Tenth International Symposium on
Conference_Location :
St. Petersburg
Print_ISBN :
1-4244-0216-6
Type :
conf
DOI :
10.1109/ISCE.2006.1689417
Filename :
1689417
Link To Document :
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