DocumentCode
1658716
Title
Enhanced inter-prediction using Merge Prediction Transformation in the HEVC codec
Author
Blasi, Saverio G. ; Peixoto, E. ; Izquierdo, Ebroul
Author_Institution
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
fYear
2013
Firstpage
1709
Lastpage
1713
Abstract
Merge prediction is a novel technique introduced in the HEVC standard to improve inter-prediction exploiting redundancy of themotion information. We propose in this paper a new approach to enhance the Merge mode in a typical HEVC encoder using parametric transformations of the Merge prediction candidates. An Enhanced Inter-Prediction module is implemented in HEVC using Merge Prediction Transformation (MPT), integrated with the HEVC new features such as the large coding units (CU) and the recursive prediction unit partitioning. The MPT parameters are quantised according to the CU depth and the current QP. The optimal quantization steps are derived via statistical analysis as illustrated in the paper. Results show consistent improvements over conventional HEVC encoding in terms of rate-distortion performance, with a small impact on the encoding complexity and negligible impact on the decoding complexity.
Keywords
decoding; image enhancement; image motion analysis; prediction theory; rate distortion theory; statistical analysis; video codecs; video coding; CU depth; HEVC codec; MPT; QP; coding unit depth; decoding complexity; encoding complexity; enhanced interprediction module; high efficiency video coding; merge prediction transformation; motion information; optimal quantization; parametric transformation; rate-distortion performance; recursive prediction unit partitioning; statistical analysis; Accuracy; Complexity theory; Encoding; Indexes; Quantization (signal); Standards; Video coding; HEVC; Inter-prediction; video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6637944
Filename
6637944
Link To Document