An efficient blocking-matching algorithm based on fuzzy reasoning

Pei Yin Chen; Jer Min Jou

doi:10.1109/3477.915349

An efficient blocking-matching algorithm based on fuzzy reasoning

Pei Yin Chen, Jer Min Jou

Research output: Contribution to journal › Letter › peer-review

7 Citations (Scopus)

Abstract

Due to the temporal and spatial correlation of image sequence, the motion vector of a reference block is highly related to the motion vectors of its adjacent blocks in the same image frame. By using that idea, we propose a novel efficient fuzzy search (EFS) algorithm for block motion estimation. The experimental results show that the EFS performs better than other fast search algorithms, such as TSS, CS, NTSS, FSS, BBGDS, SES, and PSA in terms of picture quality, accuracy, computational complexity, and coding efficiency.

Original language	English
Pages (from-to)	253-259
Number of pages	7
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	31
Issue number	2
DOIs	https://doi.org/10.1109/3477.915349
Publication status	Published - 2001 Apr

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/3477.915349

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AB - Due to the temporal and spatial correlation of image sequence, the motion vector of a reference block is highly related to the motion vectors of its adjacent blocks in the same image frame. By using that idea, we propose a novel efficient fuzzy search (EFS) algorithm for block motion estimation. The experimental results show that the EFS performs better than other fast search algorithms, such as TSS, CS, NTSS, FSS, BBGDS, SES, and PSA in terms of picture quality, accuracy, computational complexity, and coding efficiency.

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An efficient blocking-matching algorithm based on fuzzy reasoning

Abstract

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