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In this paper, we propose a novel Wyner-Ziv coding of video using compressive sensing (CS) without using feedback channel. Firstly, the proposed joint sparse model of inter frames is presented. Then, the CS based Wyner-Ziv (WZ) frame coding method is introduced. In proposed method, WZ frame is coded by block based CS measure, quantization, and entropy coding, with rate-distortion (RD) optimization...
Wyner-Ziv video coding (WZC) exhibits many properties like low-complexity encoding or embedded error resilience. The quality of side information takes an important role in the performance of WZC. In order to improve the performance of WZC, a new side information interpolation algorithm is proposed in this paper. In our approach, adjacent frames are recombined before encoding. At the decoder, side...
In this paper we advocate a multi-resolution mechanism for redundant information generation and transmission with low overheads in bit-rate, in order to enable reliable video communication over challenging lossy networks with low latency. Our previous work entitled RECAP, transmitted a low resolution redundant version of a parent video stream, in order to achieve effective concealment of isolated...
This paper proposes a novel framework called distributed compressed video sensing (DISCOS) - a solution for distributed video coding (DVC) based on the recently emerging compressed sensing theory. The DISCOS framework compressively samples each video frame independently at the encoder. However, it recovers video frames jointly at the decoder by exploiting an interframe sparsity model and by performing...
Distributed video coding (DVC), has been an interesting alternative to the conventional video coding for a number of applications because of its flexibility for designing extremely low complexity video encoders. The performance of DVC can be improved by only modifying the decoder to keep the encoder complexity at the same level. In this paper, we propose a novel modified framework for a DVC codec...
Motion compensated frame interpolation (MCFI) is one of the most efficient solutions to generate side information (SI) in the context of distributed video coding. However, it creates SI with rather significant motion compensated errors for some frame regions while rather small for some other regions depending on the video content. In this paper, a low complexity intra mode selection algorithm is proposed...
Distributed video coding (DVC) targets video coding applications with low encoding complexity by generating a prediction of the video signal at the decoder. One of the most common architectures uses turbo codes to correct errors in this prediction. Unfortunately, a rigorous analysis of turbo coding in the context of DVC is missing. We have targeted one particular aspect of turbo coding: the stopping...
This paper presents a rate-distortion based selective decoding for pixel-domain distributed video compression (DVC) system. In the proposed system, the Wyner-Ziv frames are divided into several sub-images. Each of these sub-images is encoded and decoded independently. At the decoder, the rate-distortion ratio is estimated for each bitplane of the sub-images. Only the bitplanes with high rate-distortion...
Distributed source coding (DSC), formulated thirty years ago, is lately witnessing a great research effort. This effort is encouraged by emerging new applications that could greatly benefit from the properties inherent to DSC, like low complexity encoders and embedded error resilience. Among the challenging topics related to DSC there is the generation of the side information, an estimation made by...
In this paper, we propose a novel concept for key frame encoding in distributed video codecs (DVC) without using any additional coding scheme. The proposed concept is an extension of Wyner-Ziv coding for key frame coding. Since key frames are used in the prediction purposes, the quality of them is critical in the DVC codecs. Therefore we use a fine quantizer (high quality) to encode these key frames...
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