scholarly journals Fast Algorithm Designs of Multiple-Mode Discrete Integer Transforms with Cost-Effective and Hardware-Sharing Architectures for Multistandard Video Coding Applications

10.5772/64985 ◽  
2016 ◽  
Author(s):  
Chih-Peng Fan
Keyword(s):  
Video Coding ◽  
Fast Algorithm ◽  
Cost Effective ◽  
Multiple Mode ◽  
Hardware Sharing

Low Complexity and Low-Cost Hardware Sharing Design of Fast Multistandard 2-D DCT/IDCT for Image/Video Coding

2014 ◽  
Vol 6 (1) ◽  
pp. 27-45
Author(s):  
Mohamed El Aakif ◽  
Said Belkouch ◽  
Moha M`rabet Ha
Keyword(s):  
Video Coding ◽  
Low Cost ◽  
Low Complexity ◽  
Hardware Sharing

Fast algorithm for the High Efficiency Video Coding (HEVC) encoder using texture analysis

2016 ◽  
Vol 364-365 ◽  
pp. 72-90 ◽  
Author(s):  
Kalyan Goswami ◽  
Jong-Hyeok Lee ◽  
Byung-Gyu Kim
Keyword(s):  
Video Coding ◽  
Texture Analysis ◽  
Fast Algorithm ◽  
High Efficiency ◽  
High Efficiency Video Coding

A Fast Algorithm for Motion and Disparity Estimation Based on the Reference Directions of Neighboring Macroblocks

2013 ◽  
Vol 846-847 ◽  
pp. 1201-1204
Author(s):  
Xiang Jun Kong ◽  
Yan Zhao ◽  
Qian Fan ◽  
Shi Gang Wang ◽  
He Xin Chen
Keyword(s):  
Video Coding ◽  
Fast Algorithm ◽  
Estimation Algorithm ◽  
Experimental Results ◽  
Disparity Estimation ◽  
Reference Direction ◽  
Current Reference ◽  
Coding Quality ◽  
Comparison Results

As for JMVC (Joint Multi-view Video Coding), when executing motion and disparity estimation simultaneously, the implicit correlation of reference directions between current and neighboring macroblocks is neglected, and this will lead to useless searching. To reduce this redundancy, we propose an estimation algorithm which sets search ranges properly by exploiting the mentioned correlation. The proposed algorithm first gets the reference directions of macroblocks in the left, top and top right direction of current macroblock, and compares them with current reference direction, then sets search ranges by the comparison results, executes motion and disparity estimation in the new ranges at last. Experimental results show that the proposed algorithm can save 28.98%- 46.30% of coding time without degradation of coding quality comparing to JMVC.

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