Enhanced Spatially Interleaved Techniques for Multi-View Distributed Video Coding
This work addresses video compression for multi-view systems, offering incremental improvements in rate-distortion performance.
The paper tackles the problem of multi-view distributed video coding by developing a framework with spatio-temporal-view concealment methods and system enhancements, resulting in up to 25% bitrate reduction or 2.5 dB PSNR increase compared to H.264 intra coding.
This paper presents a multi-view distributed video coding framework for independent camera encoding and centralized decoding. Spatio-temporal-view concealment methods are developed that exploit the interleaved nature of the employed hybrid KEY/Wyner-Ziv frames for block-wise generation of the side information (SI). We study a number of view concealment methods and develop a joint approach that exploits all available correlation for forming the side information. We apply a diversity technique for fusing multiple such predictions thereby achieving more reliable results. We additionally introduce systems enhancements for further improving the rate distortion performance through selective feedback, inter-view bitplane projection and frame subtraction. Results show a significant improvement in performance relative to H.264 intra coding of up to 25% reduction in bitrate or equivalently 2.5 dB increase in PSNR.