A Fast Mode Decision Method for H.264/AVC Using the Spatial-Temporal Prediction Scheme

2006 ◽  
Author(s):  
Cheng-Chang Lien ◽  
Chung-Ping Yu
Keyword(s):  
Mode Decision ◽  
Fast Mode ◽  
Fast Mode Decision ◽  
Temporal Prediction ◽  
Decision Method ◽  
Prediction Scheme

An improved hybrid fast mode decision method for H.264/AVC intra coding with local information

2013 ◽  
Vol 72 (1) ◽  
pp. 687-704 ◽  
Author(s):  
Changnian Chen ◽  
Jiazhong Chen ◽  
Tao Xia ◽  
Zengwei Ju ◽  
Lai-Man Po
Keyword(s):  
Local Information ◽  
Mode Decision ◽  
Fast Mode ◽  
Fast Mode Decision ◽  
Intra Coding ◽  
Decision Method

Fast mode decision method based on edge feature for HEVC inter-prediction

2018 ◽  
Vol 12 (5) ◽  
pp. 644-651 ◽  
Author(s):  
Tsung-Han Tsai ◽  
Sheng-Shuan Su ◽  
Ting-Yu Lee
Keyword(s):  
Mode Decision ◽  
Fast Mode ◽  
Inter Prediction ◽  
Fast Mode Decision ◽  
Decision Method ◽  
Edge Feature

scholarly journals An Improved Fast Mode Decision Method for H.264/AVC Intracoding

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Abderrahmane Elyousfi
Keyword(s):  
Rate Increase ◽  
Signal To Noise Ratio ◽  
Mode Selection ◽  
Rate Distortion ◽  
Mode Decision ◽  
Fast Mode ◽  
Gravity Center ◽  
Fast Mode Decision ◽  
Decision Method ◽  
Center Vector

An improved fast and efficient mode decision method for H.264/AVC intracoding is proposed, which is based on the analysis of the gravity center method and more efficient mode selection. In contrast to the fast mode decision method where the intramodes are determined by the gravity center of the block, the mass center vector is computed for the block and the subblocks formed by the proposed subsampling techniques. This method is able to determine all correlation directions of the block that correspond to the intraprediction mode directions of the H.264/AVC. On this basis, only a small number of intraprediction modes are chosen as the best modes for rate-distortion optimization (RDO) calculation. Different video sequences are used to test the performance of the proposed method. Experimental results reveal the significant computational savings achieved with slight peak signal-to-noise ratio (PSNR) degradation and bit-rate increase.

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