Title :
Low-power VLSI design for motion estimation using adaptive pixel truncation
Author :
He, Zhong-Li ; Tsui, Chi-ying ; Chan, Kai-Keung ; Liou, Ming L.
Author_Institution :
Motorola Inc., Schaumburg, IL, USA
fDate :
8/1/2000 12:00:00 AM
Abstract :
Power consumption is very critical for portable video applications such as portable videophone and digital camcorder. Motion estimation (ME) in the video encoder requires a huge amount of computation, and hence consumes the largest portion of power. We propose a novel method of reducing power consumption of the ME by adaptively changing the pixel resolution during the computation of the motion vector. The pixel resolution is changed by masking or truncating the least significant bits of the pixel data, which is governed by the bit-rate control mechanism. Experimental results show that on average more than 4 bits ran be truncated without significantly affecting the picture quality. This results in more than 60% reduction in power consumption
Keywords :
VLSI; adaptive signal processing; data compression; differential pulse code modulation; digital signal processing chips; digital television; discrete cosine transforms; image resolution; integrated circuit design; motion estimation; transform coding; video cameras; video coding; videotelephony; DCT; DPCM; adaptive pixel truncation; bit-rate control mechanism; experimental results; hand-held digital video camcorders; low-power VLSI design; motion estimation; motion vector; picture quality; pixel data; pixel resolution; portable video applications; portable videophone; power consumption reduction; real-time video compression; video cellular phone; video encoder; Bit rate; Discrete cosine transforms; Energy consumption; Motion estimation; Pulse modulation; Quantization; Redundancy; Very large scale integration; Video compression; Video equipment;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on