DocumentCode
1843288
Title
An efficient embedded compression algorithm using adjusted binary code method
Author
Lee, Yu-Xuan ; Tsai, Tsung-Han
Author_Institution
DSP/VLSI Lab. Dept. of Electron. Eng., Nat. Central Univ., Taoyuan
fYear
2008
fDate
18-21 May 2008
Firstpage
2586
Lastpage
2589
Abstract
Both computation-intensive and bandwidth- intensive are primary characterizes in closed-loop video coding systems. With the rapid progress of semiconductor industry, the commutation-intensive issue can be properly handled by parallelism or pipeline processing. Therefore, bandwidth-intensive issue becomes more and more important in video coding. The embedded compression (EC) technology is widely applied to reduce frame memory size and bandwidth requirement. In this paper, an efficient EC algorithm, including ABC-based recompression, side-clipping mechanism and average-based prediction, is proposed. With proposed EC algorithm, the compression ratio (CR) of 50% can be guaranteed with minor PSNR degradation of 4.02% on average. Although EC is an additional function in video coding system, the extra encoding computation load is just 2.4% on average. Consequently, the proposed EC algorithm can be exploited to reduce the frame memory and bandwidth requirement in video coding systems.
Keywords
binary codes; data compression; video coding; average-based prediction; bandwidth-intensive issue; binary code method; closed-loop video coding systems; compression ratio; embedded compression algorithm; encoding computation load; frame memory size reduction; pipeline processing; semiconductor industry; side-clipping mechanism; Bandwidth; Binary codes; Chromium; Compression algorithms; Degradation; Electronics industry; PSNR; Parallel processing; Pipeline processing; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-1683-7
Electronic_ISBN
978-1-4244-1684-4
Type
conf
DOI
10.1109/ISCAS.2008.4541985
Filename
4541985
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