Low-complexity Power-scalable Multi-view Distributed Video Coding for Wireless Video Sensor Networks

To meet the requirements of resource-limited video sensors, low-complexity video encoding technique is highly desired. In this paper, we propose a lowcomplexity power-scalable multi-view distributed video encoding scheme by using the correlations among video frames from adjacent video sensor nodes via robust media hashing extracted at encoder and using the global motion parameters estimated and fed back from the decoder. In addition, the proposed video encoding scheme is power-scalable, which is adaptive based on the available power supply of the video sensor. The power-rate-distortion behavior of the proposed video encoding scheme is also analyzed in order to maximize the video quality under limited video sensor resource allocation. The theoretical achievable minimum distortion (AMD) of reconstructed video under a total power supply constraint for a video sensor is also derived. Based on the AMD estimation, a guideline is provided to decide the power supply for each video sensor based on desired video quality or acceptable distortion before deploying the wireless video sensor network.