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Journal ArticleDOI

Generalised block-matching motion estimation using quad-tree structured spatial decomposition

V.E. Seferidis, +1 more
- Vol. 141, Iss: 6, pp 446-452
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TLDR
Experimental results with head-and-shoulders test image sequences show that motion-compensated errors with this method have lower entropy than the conventional fixed or variable-size block-matching techniques.
Abstract
A generalised block-matching motion estimation with variable-size blocks is proposed. The location and size of each block are determined from a quad-tree spatial decomposition algorithm. Experimental results with head-and-shoulders test image sequences show that motion-compensated errors with this method have lower entropy than the conventional fixed or variable-size block-matching techniques. The quality of the coded pictures under the proposed method with an H.261 codec, both subjectively and in terms of PSNR, outperforms the conventional use of fixed and variable block-size motion estimators.< >

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Citations
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Journal ArticleDOI

Control-Point Representation and Differential Coding Affine-Motion Compensation

TL;DR: A new control-point representation that favors differential coding is proposed for efficient compression of affine parameters by exploiting the spatial correlation between adjacent coding blocks, motion vectors at control points can be predicted and thus efficiently coded, leading to overall improved performance.
Journal ArticleDOI

Affine Motion Prediction Based on Translational Motion Vectors

TL;DR: A novel affine predictor stage which can be easily incorporated into current codecs greatly increasing MCP quality is demonstrated and if used passively to generate the final prediction, gains of up to 0.7 and 1.6 dB were easily realized for ldquomobilerdquo and lDquoflower gardenrdquo video sequences.
Journal ArticleDOI

A method for vector displacement estimation with ultrasound imaging and its application for thyroid nodular disease

TL;DR: The proposed method, referred to as Bilinear Deformable Block Matching (BDBM), uses a bilinear model with eight parameters for controlling the local mesh deformation and outperforms the usual block matching.
Book

Video Coding for Mobile Communications: Efficiency, Complexity and Resilience

TL;DR: This paper presents a meta-anatomy of Error Concealment Using Motion Field Interpolation, a version of which has never been attempted before in the literature on block-Matching algorithms.
Proceedings ArticleDOI

A feature tracking algorithm using neighborhood relaxation with multi-candidate pre-screening

TL;DR: The goal is to find motion vectors of the features for object-based motion tracking, in which any region of an object contains a good number of blocks, whose motion vectors exhibit certain consistency; and only true motion vectors for a few blocks per region are needed.