Title : 
Predicting zero coefficients for High Efficiency Video Coding
         
        
            Author : 
Hanli Wang ; Han Du ; Jun Wu
         
        
            Author_Institution : 
Key Lab. of Embedded Syst. & Service Comput., Tongji Univ., Shanghai, China
         
        
        
        
        
        
            Abstract : 
Similar to previous video coding standards, transform and quantization are used in the most recent video coding standard High Efficiency Video Coding (HEVC) and a large number of transform coefficients are quantized to zeros. In order to reduce the computations involved in transform and quantization in HEVC, a prediction approach based on Gaussian model is proposed to predict zero quantized transform coefficients within the 4 × 4, 8 × 8, 16 × 16 and 32 × 32 blocks. Extensive experiments demonstrate that the proposed algorithm is able to effectively predict zero coefficients and thus reduce redundant computations while keeping the video quality and compression efficiency almost intact.
         
        
            Keywords : 
Gaussian processes; video coding; Gaussian model; compression efficiency; high efficiency video coding; video quality; zero coefficient prediction; Computational modeling; Encoding; Predictive models; Quantization (signal); Transforms; Video coding; Video sequences; Gaussian model; High efficiency video coding; quantization; transform; zero coefficients;
         
        
        
        
            Conference_Titel : 
Multimedia and Expo (ICME), 2014 IEEE International Conference on
         
        
            Conference_Location : 
Chengdu
         
        
        
            DOI : 
10.1109/ICME.2014.6890199