DocumentCode
3317198
Title
Recent advances in distributed video coding
Author
Rup, Suvendu ; Dash, Ratnakar ; Ray, Niranjan Kumar ; Majhi, Banshidhar
Author_Institution
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol. Rourkela, Rourkela, India
fYear
2009
fDate
8-11 Aug. 2009
Firstpage
130
Lastpage
135
Abstract
Distributed Video coding (DVC) is a new coding paradigm for video compression mainly based on two major information theory results, Slepian and Wolf´s and Wyner-Ziv theorems. In some major ap- plications such as wireless low power surveillance and multimedia sensor networks, wireless PC cameras and mobile camera phones, it is really a challenge for traditional video coding architecture. For both encoder and decoder, it is necessary to have a low power consumption for some cases. So low power and low complexity encoder are essential to satisfy those requirements. This paper reviews some recent developments of distributed video coding. Slepian and Wolf´s coding is the lossless source coding and Wyner-Ziv coding is a lossy compression with receiver side information. It has been observed that in most of the traditional video coding algorithm such as MPEG,H.263+ or H.264 the encoder has com- plex computational operation rather than the decoder. The distributed video coding is a new kind of video coding which allows a low complexity video encoding where the major part of computational burden is shifted to decoder. DVC is mainly applicable to two areas that is low complexity video coding and robust video coding. The dierent techniques are analysed based on certain parameters such as compression rate, decoding and motion compensation.
Keywords
data compression; decoding; video coding; Slepian-and-Wolf coding; Wyner-Ziv coding; distributed video coding; encoder-decoder; video compression; video encoding; Cameras; Decoding; Energy consumption; Information theory; Source coding; Surveillance; Transform coding; Video coding; Video compression; Wireless sensor networks; Distributed Video Coding; Low complexity Video coding; Wyner-Ziv coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4519-6
Electronic_ISBN
978-1-4244-4520-2
Type
conf
DOI
10.1109/ICCSIT.2009.5234835
Filename
5234835
Link To Document