Title :
A Multiple Description Distributed Compressed Video Sensing for Robust Transmission
Author :
Yu, Dong ; Wang, Anhong ; Zhao, Mei
Author_Institution :
Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
This paper proposes a multiple description distributed compressed video sensing (MD-DCVS) for the robust transmission of low-power video devices. In this scheme, the encoder firstly divides the video sequence into two sub-sequences (two descriptions). Then, both descriptions are compressed by the distributed compressed video sensing (DCVS) which behaves low-complexity encoding property. At the decoder side, two kinds of decoders, central decoder and side decoder are explored respectively for the case when two descriptions or only one description is received, which guarantees that the recovered video is acceptable even when one description is lost. The experimental results show the superiority of our MD-DCVS especially when the measurement rate is low.
Keywords :
data compression; decoding; image sequences; video coding; central decoder; encoder; low-complexity encoding property; low-power video device; multiple description distributed compressed video sensing; robust transmission; side decoder; video recovery; video sequence; Decoding; Encoding; Image coding; Robustness; Sensors; Video coding; Video sequences; DCVS; Multiple description coding; low complexity encoding;
Conference_Titel :
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4673-2033-7
DOI :
10.1109/CMCSN.2012.4