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New motion estimation algorithm using adaptively-quantized low bit resolution image and its VLSI architecture for MPEG2 video encoding

Cited 36 time in Web of Science Cited 45 time in Scopus
Authors
Lee, Seongsoo; Kim, Jung-Min; Chae, Soo-Ik
Issue Date
1998
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
IEEE Trans. Circuits Syst. Video Technol., vol. 8, pp. 734-744
Keywords
Adaptive quantization block matchinglowresolutionmotion estimationVLSI
Abstract
This paper describes a new motion estimation algorithm
that is suitable for hardware implementation and substantially
reduces the hardware cost by using a low bit-resolution
image in the block matching. In the low bit-resolution image
generation, adaptive quantization is employed to reduce the
bit resolution of the pixel values, which is better than simple
truncation of the least significant bits in preserving the dynamic
range of the pixel values. The proposed algorithm consists of
two search steps: in the low-resolution search, a set of candidate
motion vectors is determined, and in the full-resolution search,
the motion vector is found from these candidate motion vectors.
The hardware cost of the proposed algorithm is 1/17 times of the
full search algorithm, while its peak signal-to-noise ratio is better
than that of the 4 : 1 alternate subsampling for the search range
of 32 32: A VLSI architecture of the proposed algorithm is
also described, which can concurrently perform two prediction
modes of the MPEG2 video standard with the search range of
(􀀀32.0,􀀀32.0)–(+31.5,+31.5). We fabricated a MPEG2 motion
estimator with a 0.5- m triple-metal CMOS technology. The
VLSI chip includes 110 K gates of random logic and 90 K bits of
SRAM in a die size of 11.5 mm 12.5 mm. The full functionality
of the fabricated chip was confirmed with an MPEG2 encoder
chip.
ISSN
1051-8215
Language
English
URI
https://hdl.handle.net/10371/16275
DOI
https://doi.org/10.1109/76.728416
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
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