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The application of distributed coding in many media applications, where low power and low-complexity encoder device is essential, is a new paradigm. In this paper, we propose a new pixel-domain Distributed Video Coding (DVC) scheme, in which both temporal and spatial correlations are exploited at the decoder. The Slepian-Wolf decoder is modified by introducing a source decoder to exploit Wyner-Ziv...
Recently, Distributed Video Coding (DVC) has been actively studied as a solution to the growing demands on light video encoder. However, DVC shifts the complexity from the encoder to the decoder side, and in some applications it needs unacceptably long decoding time and/or big computing power. In this paper, we propose a Wyner-Ziv (WZ) video coding which extracts fast moving regions called Region-Of-Interest...
Distributed video coding (DVC) is an interesting research topic for emerging application scenarios requiring low complexity video encoding. The central Slepian-Wolf (SW) coding, in a DVC system, exploits the cross correlation between the side information and the original frame. But, it does not exploit the source entropy of the input symbols, which is exploited by entropy coding in conventional video...
In contrast with the traditional video compression system, Distributed Video Coding (DVC) architecture dramatically shifts the complexity from the encoder to the decoder. This low-cost encoding concept can be exploited in the emerging applications, e.g. wireless sensor networks. In order to increase the compression efficiency, improvement of side information generation and refinements of Correlation...
Presently, distributed video coding (DVC) arouse high research interests due to the distinct contribution to the low-complexity encoding. In this paper, we propose a hash-based DVC, where the hash bits are compressed by a rate-adaptive low density parity coding accumulate (LDPCA) and sent to aid the decoder in motion estimation. The hash bit-rate is ideally near to its conditional entropy, so we name...
Distributed video coding has received much attention in recent years. It shifts the complex motion estimation from the encoder to the decoder side, thus makes low-complexity encoding a reality. Among some motion estimation methods exploited for DVC, expectation maximization (EM) algorithm is the most effective. However, the full searching involved in EM algorithm makes it complex. So, in this paper,...
The Stanford's WZ codec, Berkeley's PRISM and Europe's DISCOVER, are considered to be three early major research groups in the distributed video coding (DVC) with better performance. In this paper, we propose a new architecture of DVC, which does not follow the abovementioned solutions. Basically, we adopt the PBMA (partial boundary matching algorithm) and ZMVR (zero motion vector replacement) at...
The Wyner-Ziv video coding scheme is characterized for its simple encoder design, owing to the independent encoding for consecutive frames. The previous works reported that coding the residual of a frame with respect to a reference frame reduces the input entropy and a better coding efficiency can be achieved in such a way. In this paper, we propose a new reference frame/block generation method for...
An improved decoding algorithm based on joint bitplane decoding for distributed video coding is proposed. The new algorithm uses the decoded bitplane results of quantization coefficients as prior knowledge, and decodes the other bit-planes to avoid correlation weakening between sources when decoding bit-planes independently. It makes full use of correlation between Wyner-Ziv frames and key frames;...
In our paper, we propose a novel distributed video coding (DVC) scheme using the theory of multiple description (MD), in which key frame is encoded by MD codec and transmitted over the corresponding channel. This scheme combines the advantage of DVC as well as robustness of MD, and exploits three different methods to generate multiple descriptions for the key frames that are essential to side information...
The performance of existing DVC codecs is still lacking relative to that of H.264 and work is being carried out in order to close this gap. The authors of this paper have been and still are involved in the development of two DVC codecs respectively, the performance of which is compared herein. The aim is to identify strengths and weaknesses of the two codecs that can be exploited / addressed in order...
In this paper, we propose a new side information generation (SIG) method which is applicable to distributed video coding (DVC). The proposed method adaptively changes a search range depending on a confidence level in hierarchical motion estimation (ME) and reconstructs the hole regions using the proposed uni-directional prediction and linear interpolation. In order to improve reliability of the hierarchical...
An efficient distributed video coding algorithm using symmetric motion estimation and channel division is proposed in this work. We employ the symmetric motion estimation to generate high quality side information for Wyner-Ziv frames. Also, in the channel division, we classify blocks in the side information into reliable ones and unreliable ones. Then, we transmit parity bits for unreliable blocks...
Distributed Video coding (DVC) is a new coding paradigm for video compression mainly based on two major information theory results, Slepian and Wolf's and Wyner-Ziv theorems. In some major ap- plications such as wireless low power surveillance and multimedia sensor networks, wireless PC cameras and mobile camera phones, it is really a challenge for traditional video coding architecture. For both encoder...
Present distributed video coding (DVC) approaches assume the correlation channel to be side-information independent (SII). We have recently demonstrated that in reality the correlation channel in video is side-information dependent (SID) and that DVC systems which make SII assumptions suffer a significant performance penalty, depending entirely on the correlation statistics of the video data. In this...
In this paper we describe a practical implementation of a distributed video codec deployed on a real visual sensor platform, viz. the MicaZ/Cyclops platform. The codec supports two encoding schemes, one employs Discrete Cosine Transform (DCT) and the other operates on raw pixels. DCT scheme is more costly in terms of computational power consumption, on the other hand it leads to more compression and...
In this paper, a distributed video coding technique with prioritized channel coding of W-Z frames is presented. In the proposed framework, W-Z frame macroblocks are classified into different groups based on the estimated quality of the side information. The information is transmitted via uplink channel back to the encoder so that macroblocks with similar error statistics can be grouped tighter in...
Motivated by theoretical analysis of the curve fitting problem based on equivalent kernel, in this paper we propose a local adaptive learning and fusion model for side information interpolation in distributed video coding. In the proposed model, each pixel in the interpolated frame is approximated as the linear combination of samples within a local spatio-temporal window using kernel parameters as...
In distributed video coding (DVC), compression is achieved by exploiting correlation between frames at the decoder, instead of at the encoder. More specifically, the decoder uses already decoded frames to generate side information Y for each Wyner-Ziv frame X, and corrects errors in Y using error correcting bits received from the encoder. For efficient use of these bits, the decoder needs information...
This paper proposes a multi-hypothesis based Wyner-Ziv (WZ) decoder for the multi-view distributed video coding (MDVC). Two hypotheses, the intra-view SI and the interview SI, are fed together into the WZ decoder in the proposed scheme. A multi-hypothesis based correlation model (MHBCM) is presented to fully exploit the redundancy between these two SI frames and the original frame. The MHBCM is also...
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