Title : 
Low complexity side information for distributed compressed video coding
         
        
            Author : 
Baig, Yousuf ; Lai, Edmund M-K ; Amal, P.
         
        
            Author_Institution : 
Sch. of Eng. & Adv. Technol., Massey Univ., Palmerston North, New Zealand
         
        
        
        
        
        
            Abstract : 
Distributed Video coding based on compressed sensing is considered in this paper. Side information plays an important role in the quality of decoded non-key video frames. Existing systems generate side information based on the decoded key frames and the processes are quite complicated, increasing the computation burden at the decoder. We propose a side information generation method that is founded on the high statistical correlation between compressed sensing measurements of key frames and non-key frames. The proposed technique is simple and simulation results show that better rate distortion performance can be obtained in comparison with motion compensated interpolation.
         
        
            Keywords : 
compressed sensing; decoding; statistical analysis; video coding; compressed sensing measurements; decoded nonkey video frames; distributed compressed video coding; high statistical correlation; low complexity side information; motion compensated interpolation; rate distortion performance; side information generation method; Complexity theory; Correlation; Decoding; Interpolation; Vectors; Video coding; Video sequences; Compressed Sensing; Distributed Video Coding; Side Information Generation;
         
        
        
        
            Conference_Titel : 
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
         
        
            Conference_Location : 
Hong Kong
         
        
            Print_ISBN : 
978-1-4673-2192-1
         
        
        
            DOI : 
10.1109/ICSPCC.2012.6335688