A new motion compensation method using superimposed inter-frame signals

A new MCP method called Neighbor Predicted Superimposed Search (NPSS) algorithm that uses superimposed inter-frame signals to achieve higher prediction accuracy is proposed in this paper. It outperforms other Multi-Hypothesis MCP (MHMCP) methods as it does not require the transmission of multiple mo...

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Bibliographic Details
Published in2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1213 - 1216
Main Authors Ka-Ho Ng, Lai-Man Po, Kwok-Wai Cheung, Xu-Yuan Xu, Ka-Man Wong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Algorithm design and analysis
Complexity theory
Distortion
motion compensated prediction
Motion estimation
Prediction algorithms
PSNR
Vectors
video coding
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Summary:A new MCP method called Neighbor Predicted Superimposed Search (NPSS) algorithm that uses superimposed inter-frame signals to achieve higher prediction accuracy is proposed in this paper. It outperforms other Multi-Hypothesis MCP (MHMCP) methods as it does not require the transmission of multiple motion vectors. The proposed method has better prediction quality and yet having comparable computational complexity as conventional block-based MCP with no extra side-information overhead.
ISBN:1467300454
9781467300452
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2012.6288106