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