Split-merge video displacement estimation

Split-merge video displacement estimation

Motion Compensation is one of the most effective techniques used in interframe data compression. In this paper we present a parallel block-matching algorithm for estimating interframe displacement of blocks with minimum error. The algorithm is designed for a simple parallel architecture to process v...

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Veröffentlicht in:Proceedings of the IEEE 1994-06, Vol.82 (6), p.940-947
Hauptverfasser: Carpentieri, B., Storer, J.A.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithm design and analysis
Data compression
Decoding
HDTV
Image coding
Image segmentation
Motion compensation
Parallel architectures
Shape
Video compression
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container_title Proceedings of the IEEE
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creator Carpentieri, B.
Storer, J.A.
description Motion Compensation is one of the most effective techniques used in interframe data compression. In this paper we present a parallel block-matching algorithm for estimating interframe displacement of blocks with minimum error. The algorithm is designed for a simple parallel architecture to process video in real time. The blocks may have variable size and shape depending on a split-and-merge technique. The algorithm performs a segmentation of the image into regions (objects) moving in the same direction and uses this knowledge to improve the transmission of the displacement vectors. This segmentation identifies the part of the frame "active" with respect to the previous frame and preserves some of the spatial correlation between blocks.< >
doi_str_mv 10.1109/5.286195
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subjects Algorithm design and analysis
Data compression
Decoding
HDTV
Image coding
Image segmentation
Motion compensation
Parallel architectures
Shape
Video compression
title Split-merge video displacement estimation
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