DocumentCode :
2025816
Title :
Complexity Control for Real-Time Video Coding
Author :
Akyol, Emrah ; Mukherjee, Debargha ; Liu, Yuxin
Author_Institution :
California Univ., Los Angeles
Volume :
1
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
A methodology for complexity scalable video encoding and complexity control within the framework of the H.264/AVC video encoder is presented. To yield good rate-distortion performance under strict complexity/time constraints for instance in real-time communication, a framework for optimal complexity allocation at the macroblock level is necessary. We developed a macroblock level fast motion estimation based complexity scalable motion/mode search algorithm where the complexity is adapted jointly by parameters that determine the aggressiveness of an early stop criteria, the number of ordered modes searched, and the accuracy of motion estimation steps for the INTER modes. Next, these complexity parameters are adapted per macroblock based on a control loop to approximately satisfy an encoding frame rate target. The optimal manner of adapting the parameters is derived from prior training. Results using the developed scalable complexity H.264/AVC encoder demonstrate the benefit of adaptive complexity allocation over uniform complexity scaling.
Keywords :
computational complexity; motion estimation; rate distortion theory; real-time systems; video coding; H.264/AVC video encoder; complexity control; complexity scalable motion; macroblock level fast motion estimation; mode search algorithm; rate-distortion performance; real-time video coding; Automatic voltage control; Costs; Encoding; Laboratories; Motion control; Motion estimation; Rate-distortion; Scalability; Teleconferencing; Video coding; H.264/AVC; complexity control; fast motion estimation; real-time video coding; scalable complexity; videoconferencing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4378895
Filename :
4378895
Link To Document :
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