Title :
Data-Driven Techniques for Low-Energy Video Processing
Author :
Moshnyaga, Vasily G.
Author_Institution :
Dept. of Electron. & Comput. Sci., Fukuoka Univ., Fukuoka
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
The explosive growth of portable video applications has elevated needs for low-energy video processing hardware. This paper presents algorithmic and architectural techniques capable of reducing the energy dissipation of video codec considerably. The focus is put on adaptive approaches, which dynamically adjust the number of operations, the operational bit-width, and voltage supply to varying picture content. We describe the strengths of techniques in terms of energy savings and design complexity and overview issues of their practical use.
Keywords :
video codecs; video coding; adaptive approaches; architectural techniques; data-driven techniques; design complexity; energy dissipation reduction; energy savings; low-energy video processing hardware; portable video applications; video codec; Circuits; Discrete cosine transforms; Energy consumption; Energy dissipation; Image storage; Optimization methods; Random access memory; Throughput; Video codecs; Voltage; Video coding/decoding; adaptive control; image storage; optimization methods; power demand;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.355003