DocumentCode :
2941593
Title :
Vision Guided Compression on low-bit rate channels
Author :
Sek Chai ; Yingxue Li ; Isnardi, M.A. ; Kopansky, A.
Author_Institution :
SRI Int. Sarnoff, Princeton, NJ, USA
fYear :
2012
fDate :
27-30 Nov. 2012
Firstpage :
1
Lastpage :
1
Abstract :
Full motion video (FMV) in unreliable, low-bit rate network channels suffers from quality issues such as jitter and block artifacts. In this paper, we introduce Vision Guided Compression (VGC), as a pre-processing technology that can be coupled with standards-based video coding, to provide FMV at low-bit rates. VGC utilizes computer vision algorithms to track salient features and keep them sharp, while non-salient features are lowpass filtered. With this approach, VGC provides an additional spatial parameter to gracefully tune the QoS, while providing FMV and preserving salient visual information.
Keywords :
code standards; computer vision; data compression; feature extraction; low-pass filters; motion compensation; object tracking; quality of service; video coding; wireless channels; FMV; QoS; VGC; bit rate network channel; computer vision algorithm; full motion video; low-pass filter; nonsalient feature tracking; preprocessing technology; salient feature tracking; salient visual information preservation; spatial parameter; standard-based video coding; vision guided compression; Bit rate; Computer vision; Mobile handsets; Program processors; Quality of service; Real-time systems; Visual communication; QoS; compression; real-time; vision processing; visual communications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4405-0
Electronic_ISBN :
978-1-4673-4406-7
Type :
conf
DOI :
10.1109/VCIP.2012.6410859
Filename :
6410859
Link To Document :
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