Low-computation and high-performance adaptive full search block-matching motion estimation

This paper describes a low-computation and high-performance adaptive full search block matching (FSBM) by exploiting the spatio-temporal motion correlation between the video frames. In this work, previous frame block motion vector is the reference vector to track the motion of the current block. We...

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Main Authors: Reddy, V.S.K., Sengupta, S.
Format: Conference Proceeding
Language:English
Subjects:
Area measurement
Computational complexity
Degradation
Distortion measurement
Motion estimation
PSNR
Testing
Tracking
Video compression
Video sequences
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Sengupta, S.
description This paper describes a low-computation and high-performance adaptive full search block matching (FSBM) by exploiting the spatio-temporal motion correlation between the video frames. In this work, previous frame block motion vector is the reference vector to track the motion of the current block. We also investigate the advantages of partial distortion measures for early jump outs to reduce the computations further. The experimental results reveal that the proposed adaptive search area FSBM algorithm (ASFSBM) saves up to 96% of computations, as compared to FSBM and the estimation accuracy is very close to that of FSBM. To obtain fine motion vector accuracy, ASFSBM has been implemented with half-pixel accuracy. Its performance has been compared with three-step search (TSS) and FSBM for a variety of test video sequences.
doi_str_mv 10.1109/SPCOM.2004.1458413
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Area measurement
Computational complexity
Degradation
Distortion measurement
Motion estimation
PSNR
Testing
Tracking
Video compression
Video sequences
title Low-computation and high-performance adaptive full search block-matching motion estimation
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