scholarly journals H.264 SVC Complexity Reduction Based on Likelihood Mode Decision

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
L. Balaji ◽  
K. K. Thyagharajan

H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content. The various scaling is resolution, frame rate, quality, heterogeneous networks, bandwidth, and so forth. Scaling consumes more encoding time and computational complexity during mode selection. In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. LMD is evaluated in both temporal and spatial scaling. From the results, we conclude that LMD performs well, when compared to the previous fast mode decision algorithms. The comparison parameters are time, PSNR, and bit rate. LMD achieve time saving of 66.65% with 0.05% detriment in PSNR and 0.17% increment in bit rate compared with the full search method.

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Qiuwen Zhang ◽  
Nana Li ◽  
Qinggang Wu

The emerging international standard of high efficiency video coding based 3D video coding (3D-HEVC) is a successor to multiview video coding (MVC). In 3D-HEVC depth intracoding, depth modeling mode (DMM) and high efficiency video coding (HEVC) intraprediction mode are both employed to select the best coding mode for each coding unit (CU). This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time which obstructs the 3D-HEVC from practical application. In this paper, a fast mode decision algorithm based on the correlation between texture video and depth map is proposed to reduce 3D-HEVC depth intracoding computational complexity. Since the texture video and its associated depth map represent the same scene, there is a high correlation among the prediction mode from texture video and depth map. Therefore, we can skip some specific depth intraprediction modes rarely used in related texture CU. Experimental results show that the proposed algorithm can significantly reduce computational complexity of 3D-HEVC depth intracoding while maintaining coding efficiency.


2013 ◽  
Vol 52 (1) ◽  
pp. 017401 ◽  
Author(s):  
Tae-Jung Kim ◽  
Jeong-Ju Yoo ◽  
Jin-Woo Hong ◽  
Jae-Won Suh

2009 ◽  
Vol 55 (3) ◽  
pp. 1572-1580 ◽  
Author(s):  
Seon-Tae Kim ◽  
Krishna Konda ◽  
Chun-Su Park ◽  
Chang-Sik Cho ◽  
Sung-Jea Ko

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