Directional Multi-hypothesis Prediction for Improving H.264/AVC Video Coding

In this letter, we propose efficient multi-hypothesis prediction (MHP) algorithms for high performance video codec. First, candidate MHPs are generated by combining the seed predictors around the initial predictor which is obtained by motion estimation. Among candidate MHPs, we select the optimal MH...

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Bibliographic Details
Published in:IEEE signal processing letters 2009-05, Vol.16 (5), p.430-433
Main Authors: Kim, Il-Koo, Han, Woo-Jin
Format: Article
Language:English
Subjects:
Algorithms
Automatic voltage control
Bit rate
Codec
Coding
Complexity
Cost function
Directional prediction
Encoding
Filters
H.264/AVC
Motion estimation
multi-hypothesis prediction
Optimization
Prediction algorithms
Rate-distortion
Seeds
Signal processing
Video codecs
Video coding
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Summary:In this letter, we propose efficient multi-hypothesis prediction (MHP) algorithms for high performance video codec. First, candidate MHPs are generated by combining the seed predictors around the initial predictor which is obtained by motion estimation. Among candidate MHPs, we select the optimal MHP predictor which have the lowest rate-distortion (RD) cost and signal the index as side information. We also propose directional MHP (DMH), which combines only two predictors along the predefined direction to minimize both encoding complexity and signaling overhead. In the experimental results, proposed MHP algorithms show better performance than H.264/AVC. Specifically, the average bit saving of DMH over H.264/AVC is up to 9.55%. The results also indicate that the performance is better at the high bit rate.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2016482