Lossy adaptive coding of motion vectors with global camera motion compensation

We propose a motion estimation and coding scheme that combines global camera motion estimation with a scene adaptive coder based on a quadtree structure with entropy-constrained vector quantization (ECVQ). Global camera motion parameters are first estimated before the local motion estimation. A quad...

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Bibliographic Details
Published inConference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers Vol. 1; pp. 105 - 108 vol.1
Main Authors Chen, X.C., Chaddha, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Adaptive coding
Cameras
Laboratories
Layout
Motion compensation
Motion estimation
Parameter estimation
Rate-distortion
Vector quantization
Video coding
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Summary:We propose a motion estimation and coding scheme that combines global camera motion estimation with a scene adaptive coder based on a quadtree structure with entropy-constrained vector quantization (ECVQ). Global camera motion parameters are first estimated before the local motion estimation. A quadtree structure is then constructed that finds the best block size to perform adaptive local motion estimation. Motion vectors of each block size are coded using an entropy-constrained vector quantizer specific for that block size. Our simulation results have shown that this adaptive coding algorithm has superior rate-distortion performance over the traditional fixed-block-size full-search method and the global camera motion compensation gives additional performance improvement when there is camera zoom and rotation.
ISBN:9780818676468
0818676469
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.1996.600838