DocumentCode :
798190
Title :
A VLSI architecture for hierarchical motion estimation
Author :
Costa, Alessandra ; De Gloria, Alessandro ; Faraboschi, Paolo ; Passaggio, Filippo
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Volume :
41
Issue :
2
fYear :
1995
fDate :
5/1/1995 12:00:00 AM
Firstpage :
248
Lastpage :
257
Abstract :
Motion estimation is the critical path in compression algorithms, and several dedicated hardware solutions have been proposed for its acceleration. In this paper we present an innovative VLSI architecture for motion estimation that combines a low implementation cost with real-time performance for videoconferencing and DTV standards. To minimize computational load and architecture requirements, we adopt a three-step hierarchical search algorithm, that provides a quality comparable with more expensive full-search techniques. The proposed solution focuses on architectural efficiency by employing a minimum set of functional units (three simple processing units, one minimum unit, and four programmable delay lines), still supporting real-time performance for videoconferencing standards. In addition we show how to combine parallel motion estimation units for backward-forward prediction (MPEG) and for higher throughput standards (DTV)
Keywords :
VLSI; digital signal processing chips; digital television; motion estimation; teleconferencing; television standards; visual communication; DTV standards; MPEG; VLSI architecture; architecture requirements; backward-forward prediction; compression algorithms; computational load; hardware solutions; hierarchical motion estimation; higher throughput standards; low implementation cost; real-time performance; three-step hierarchical search algorithm; videoconferencing; Acceleration; Compression algorithms; Computer architecture; Costs; Delay lines; Digital TV; Hardware; Motion estimation; Teleconferencing; Very large scale integration;
fLanguage :
English
Journal_Title :
Consumer Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-3063
Type :
jour
DOI :
10.1109/30.391352
Filename :
391352
Link To Document :
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