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