Fusion-based Side Information Generation for Multi-view Distributed Video code of Wireless video sensor networks
Distributed video coding (DVC) is a new paradigm in video coding. DVC offers flexible partitioning of the complexity between the encoder and decoder, robustness to channel errors due to intrinsic joint source-channel coding, codec independent scalability, and multi-view coding without communications between the cameras. This makes it very interesting for a wide range of applications, in particular Multimedia WSN. Multi-view DVC has recently received attention from the scientific community. Among the many challenging topics related to DSC there is the generation of the Side Information, which is estimated by the decoder of the data being decoded. This paper presents a new method for spatial side information generation of uncalibrted video sensor network, which is based on Trifocal Tensor. Then the spatial side information is fused with temporal intra-view side information to get better side information. Simulation results show that Trifocal Tensor-based spatial side information produces 1 to 2 dB improvement, while fusion-based side information produces 0.2 to 0.4 dB improvement in the PSNR of the rate-distortion plots. Visual performance is also improved.
Multi-view Distributed Video Coding camera sensor networks side information trifocal tensor fusion
Xin Lin Haitao Liu JianmingWei
Shanghai Institute of Micro system and Information Technology Chinese Academy of Sciences , Shanghai Shanghai Institute of Micro system and Information Technology Chinese Academy of Sciences , Shanghai
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4601-4605
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）