Trifocal tensor based side information generation for multi-view distributed video code |
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Authors: | Lin Xin Liu Haitao Wei Jianming |
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Institution: | 1. Key Laboratory of Wireless Sensor Networks and Communication,Shanghai Institute of Micro System and Information Technology,Chinese Academy of Sciences,Shanghai 200050,P.R.China;School of Technical,Shanghai Jiao Tong University,Shanghai 201101,P.R.China 2. Key Laboratory of Wireless Sensor Networks and Communication,Shanghai Institute of Micro System and Information Technology,Chinese Academy of Sciences,Shanghai 200050,P.R.China |
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Abstract: | Distributed video coding(DVC)is a new video coding approach based on Wyner-Ziv theorem.The novel uplink-friendly DVC,which offers low-complexity,low-power consuming,and low-cost video encoding,has aroused more and more research interests.In this paper a new method based on multiple view geometry is presented for spatial side information generation of uncalibrated video sensor network.Trifocal tensor encapsulates all the geometric relations among three views that ale independent of scene structure;it can be computed from image correspondences alone without requiring knowledge of the motion or calibration.Simulation results show that trifocal tensor-based spatial side information improves the rate-distortion performance over motion compensation based interpolation side information by a maximum gap of around 2dB.Then fusion merges the different side information(temporal and spatial)in order to improve the quality of the final one.Simulation results show that the rate-distortion gains about 0.4 dB. |
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Keywords: | multi-view distributed video coding(DVC) eamera sensor networks trifocal tensor side information |
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