Spatial-based Side Information Generation for Distributed Video Coding
Date Issued
2016
Date
2016
Author(s)
Luo, Ji-Ciao
Abstract
The novel architectural characteristics of distributed video coding (DVC) are its simple encoder and complex decoder, which are unlike those of conventional video codecs (MPEG, H.264… etc.). The state-of-the-art DVC architecture is realized by using channel coding techniques in which side information (SI) quality plays the major role in overall rate-distortion (RD) performance. If SI quality is good, bit rate and channel decoding iterations are relatively low whereas the corresponding PSNR is relatively high. However, a limitation of current DVC architectures is that the SI generated in the decoder side by using temporal frame interpolation is rather poor for high motion or large group of pictures (GOP) sized sequences. The novel subsampling input based spatial domain SI creation scheme proposed in this study overcomes the above mentioned shortcomings of temporal domain SI creation. In the proposed architecture, SI is spatially interpolated instead of temporally interpolated. Therefore, the quality of SI is independent of the motion and the GOP-size of the input video. Experimental results show that a substantial RD performance gain can be obtained by using the proposed spatial domain SI creation mechanism as compared with conventional temporal domain approaches.
Subjects
distributed video coding
Wyner-Ziv video coding
side information
interpolation
super resolution
subsampling input based DVC
Type
thesis
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