Title :
An Improved Wyner-Ziv Video Coding for Sensor Network
Author :
Ye, Feng ; Men, Aidong ; Zhang, Xinming ; Chang, Kan ; Di, Jinhong
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Wyner-Ziv video coding is a new compression paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. It shifts the complexity to the decoder, resulting in a low- complexity encoder suitable for mobile video communications and visual sensor networks. This paper presents an improved Wyner-Ziv video coding scheme for sensor network. An improved key frame encoding method based on the correlation noise model (CNM) is proposed, and then a 3DRS-assisted motion estimation algorithm and AOBMC technique are used to improve the rate-distortion performance of the codec. The results show that our coding scheme can achieve 2-4 dB gain compared to state-of-the-art TDWZ codec and be deployed over a real visual sensor platform.
Keywords :
data compression; decoding; mobile radio; motion estimation; rate distortion theory; video coding; wireless sensor networks; 3DRS-assisted motion estimation algorithm; AOBMC technique; Slepian-Wolf theorems; TDWZ codec; compression paradigm; correlation noise model; decoder complexity; gain 2 dB to 4 dB; improved Wyner-Ziv video coding; information theory; key frame encoding method; low- complexity encoder; mobile video communications; rate-distortion performance; visual sensor networks; wireless sensor network; Correlation; Decoding; Encoding; Motion estimation; Noise; Silicon; Video coding;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
Conference_Location :
Yokohama
Print_ISBN :
978-1-4244-8332-7
DOI :
10.1109/VETECS.2011.5956537
