scholarly journals Fast Context-Adaptive Mode Decision Algorithm for Scalable Video Coding With Combined Coarse-Grain Quality Scalability (CGS) and Temporal Scalability

Author(s):  
Hung-Chih Lin ◽  
Wen-Hsiao Peng ◽  
Hsueh-Ming Hang
2013 ◽  
Vol 52 (1) ◽  
pp. 017401 ◽  
Author(s):  
Tae-Jung Kim ◽  
Jeong-Ju Yoo ◽  
Jin-Woo Hong ◽  
Jae-Won Suh

2013 ◽  
Vol 373-375 ◽  
pp. 525-529
Author(s):  
Luna Jing ◽  
Ning Li ◽  
Li Ni Ma

Intra4×4 mode decision has correlation between enhancement layer and base layer in scalable video coding (SVC). In this paper, a new intra mode decision algorithm is proposed based on this correlation and the proximity of prediction directions of nine Intra4×4 prediction modes. This method is used in enhancement layer to decrease the mode numbers in enhancement layer. Experiments show that the proposed algorithm can save 27.52% encoding time on average with negligible PSNR change and small bit-rate loss.


2012 ◽  
Vol 263-266 ◽  
pp. 246-250
Author(s):  
Chun Yuan ◽  
Bo Lin Xu

This paper presents a early mode decision algorithm, which is proposed to reduce the complexity of the mode selection process for enhancement layers in H.264 Scalable Video Coding. The proposed algorithm consists of the following three main steps. We firstly divide all the macroblocks into 4 classes according to the mode of collocated macroblocks in the base layer. Then, the macroblocks are subdivided with trained BP (Back Propagation) network according to the mode of neighboring macroblocks. Finally, we choose different mode selection algorithms for different divided cases, and check whether the algorithms are agreeable. Compared to JSVM 9.18, experiment results show that, with this algorithm, 30% encoding time can be saved with a negligible loss in BDSNR, and BDBR can be significantly reduced.


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