Model Based Motion Vector Predictor for Zoom Motion

As zoom motion is common in video applications, a linear motion model is derived to describe zoom motion based on the analyses of camera imaging principles. Based on the motion model, a motion vector predictor for videos involving zoom motion is proposed. A rate distortion (RD) criterion is used to...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 17; no. 9; pp. 787 - 790
Main Authors Yuan, Hui, Chang, Yilin, Lu, Zhaoyang, Ma, Yanzhuo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Automatic voltage control
Bit rate
Cameras
Criteria
Distortion
H.264/AVC
Image analysis
Image reconstruction
Mathematical analysis
Mathematical models
Motion analysis
motion vector predictor
Optimization
Platforms
Predictive models
Rate-distortion
Testing
Vectors
Vectors (mathematics)
video coding
zoom motion
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Summary:As zoom motion is common in video applications, a linear motion model is derived to describe zoom motion based on the analyses of camera imaging principles. Based on the motion model, a motion vector predictor for videos involving zoom motion is proposed. A rate distortion (RD) criterion is used to choose the optimal motion vector predictor between the one utilized in H.264/AVC and the one derived from the linear motion model. Experimental results demonstrate that by implementing the proposed method into Key Technology Area test platform version 2.2r1(KTA2.2r1), the maximum and average bit rate savings can be achieved as high as 7.66% and 4.90% respectively, while maintaining the same quality of reconstructed videos.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2010.2055051