Title :
Adaptive Decoder Complexity Reduction for Coarse Granular Scalability
Author :
He Li ; Li, Z.G. ; Changyun Wen
Author_Institution :
Sch. of EEE, Nanyang Technol. Univ., Singapore
Abstract :
The on-going scalable video coding (SVC) standard is an extension of H.264/AVC. It enables significantly improved compression performance at the expense of greatly increased computational complexity at both the encoder and the decoder sides. This paper presents an adaptive algorithm to reduce the complexity of decoder at the encoder side for coarse granular scalability. Hence, lightweight bitstreams are generated at the encoder which requires significantly less decoding complexity. The experimental results show that the proposed scheme provides significant reduction in the complexity of decoder with acceptable coding loss and minor impact on the encoder complexity.
Keywords :
computational complexity; data compression; video coding; H.264-AVC extension; adaptive decoder complexity reduction; coarse granular scalability; compression performance; computational complexity; scalable video coding standard; Automatic voltage control; Cost function; Decoding; Interpolation; Lagrangian functions; Motion estimation; Quadratic programming; Scalability; Static VAr compensators; Video coding; Scalable video coding; coarse grain SNR scalability; decoder complexity reduction;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366115