Novel Side Information Generation Algorithm of Multiview Distributed Video Coding for Multimedia Sensor Networks
The traditional multiview distributed video coding scheme using regional unified coding may lead to distortion problem of decoding estimation of the intense motion region. This paper presents a novel multiview distributed video coding algorithm. In the main perspective, gaining the intense motion regions of Wyner-Ziv frame according to the criteria of ROI, the algorithm extracts their DCT low-frequency coefficients for the entropy coding, in order to generate the best temporal side information. For the non-intense motion regions, the algorithm utilizes Motion Compensation Interpolation (MCI) to generate side information. Finally, side information based on fusion of temporal and spatial side information will be gained. Experimental results show that the authors' proposed algorithm can gain more accurate motion estimation in the intense motion region.