Abstract
In distributed video coding, the side information (SI) quality plays an important role in Wyner-Ziv (WZ) frame coding. Usually, SI is generated at the decoder by the motion-compensated interpolation (MCI) from the past and future key frames under the assumption that the motion trajectory between the adjacent frames is translational with constant velocity. However, this assumption is not always true and thus, the coding efficiency for WZ coding is often unsatisfactory in video with high and/or irregular motion. This situation becomes more serious in low-delay applications since only motion-compensated extrapolation (MCE) can be applied to yield SI. In this paper, a spatial-aided Wyner-Ziv video coding (WZVC) in low-delay application is proposed. In SA-WZVC, at the encoder, each WZ frame is coded as performed in the existing common Wyner-Ziv video coding scheme and meanwhile, the auxiliary information is also coded with the low-complexity DPCM. At the decoder, for the WZ frame decoding, auxiliary information should be decoded firstly and then SI is generated with the help of this auxiliary information by the spatial-aided motion-compensated extrapolation (SA-MCE). Theoretical analysis proved that when a good tradeoff between the auxiliary information coding and WZ frame coding is achieved, SA-WZVC is able to achieve better rate distortion performance than the conventional MCE-based WZVC without auxiliary information. Experimental results also demonstrate that SAWZVC can efficiently improve the coding performance of WZVC in low-delay application.
Highlights
The new applications such as wireless video surveillance and wireless sensor network are emerging
The rate saving for SA-Wyner-Ziv video coding (WZVC) versus motion-compensated extrapolation (MCE)-based WZVC is examined as follows
The low-pass subband of WZ frame generated by discrete wavelet transform (DWT) is used as the spatial auxiliary information and encoded by DPCM
Summary
The new applications such as wireless video surveillance and wireless sensor network are emerging In these applications, a light encoder is required because the computation and memory resources on sensors are scarce. The conventional hybrid video coding architectures such as H.26x and MPEG-x, are no longer being applicable due to the intrinsic one-to-many application model with one high-complexity encoder and many low-complexity decoders. The errors between the original information and the SI are corrected by using the received parity bits transmitted from the encoder Another advantage of WZVC is the robustness since the WZVC system is drift-free due to no motion estimation and motion compensation prediction at the encoder. In conventional hybrid video coding schemes, the motion estimation can be performed at the PSNR (dB) Foreman@CIF Bit rate (kbps) H.264. Since the current frame is unavailable at the decoder, motion estimation is performed between two previously reconstructed reference Foreman@CIF 39 Tempete@CIF 34
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