Transmission of compressed video signals over error-prone networks exposes the information to losses and errors. To reduce the effects of these losses and errors, this paper presents a joint spatial-temporal estimatio...
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Transmission of compressed video signals over error-prone networks exposes the information to losses and errors. To reduce the effects of these losses and errors, this paper presents a joint spatial-temporal estimation method which takes advantages of data correlation in these two domains for better recovery of the lost information. The method is designed for the hybrid multiple description coding which splits video signals along spatial and temporal dimensions. In particular, the proposed method includes fixed and content-adaptive approaches for estimation method selection. The fixed approach selects the estimation method based on description loss cases, while the adaptive approach selects the method according to pixel gradients. The experimental results demonstrate that improved error resilience can be accomplished by the proposed estimation method.
We consider the problem of multiple description coding for stationary Gaussian sources under the squared error distortion measure. The rate region is characterized for the 2-description case. It is shown that each sup...
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We consider the problem of multiple description coding for stationary Gaussian sources under the squared error distortion measure. The rate region is characterized for the 2-description case. It is shown that each supporting line of the rate region is achievable with a transform lattice quantization scheme. We show the optimal coding scheme has a natural spectral domain coding interpretation, which yields a reverse water-filling solution with a frequency-dependent water level instead of the flat water level as in the conventional single description case.
We propose a novel standard-compliant multiple description coding (MDC) method that exploits the H.264/AVC redundant slice tool, performing rate-distortion optimization at the slice level. The strategy to allocate red...
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ISBN:
(纸本)9781424442959
We propose a novel standard-compliant multiple description coding (MDC) method that exploits the H.264/AVC redundant slice tool, performing rate-distortion optimization at the slice level. The strategy to allocate redundancy to each slice jointly takes into account its contribution to distortion, its position in the GOP, the effect of decoder error concealment, and the transmission conditions. This makes the algorithm more accurate with respect to previous frame-based solutions, and experimental results show that it compares favorably with other state-of-the-art standard-compliant MDC techniques.
We consider analog multipledescription joint source-channel schemes for the transmission of a Gaussian source over two independent AWGN parallel channels under a quadratic error distortion criteria. For such systems,...
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ISBN:
(纸本)9781479919314
We consider analog multipledescription joint source-channel schemes for the transmission of a Gaussian source over two independent AWGN parallel channels under a quadratic error distortion criteria. For such systems, Lines mapping was proved to be a simple and efficient mapping when MMSE decoding is used. However, MMSE decoding presents a high computational load. In order to reduce complexity of such schemes, this paper studies the suitability of replacing the MMSE decoders by the much simpler ML decoders. The scenario where the ML decoders have some additional side information (Wyner-Ziv scenario) is also analyzed. Their performances are compared with the corresponding theoretical bound and with the obtained simulation results of their MMSE counterparts.
multiple description coding has emerged as an attractive framework for robust transmission of multimedia information over packet loss and fading wireless channels. Forward error correction (FEC) based multiple descrip...
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ISBN:
(纸本)9781479966196
multiple description coding has emerged as an attractive framework for robust transmission of multimedia information over packet loss and fading wireless channels. Forward error correction (FEC) based multiple description coding enables generation of an arbitrary number of descriptions from a progressive image bitstream. These descriptions are formed using erasure protection properties of Reed-Solomon codes and each code is spread across multiple packets. The level of protection is determined based on the relative importance of the information symbols in the progressive bitstream. Each description is then encoded using concatenation of convolutional code and CRC. This paper proposes an iterative soft decision decoding by exchanging extrinsic information between Reed-Solomon code across packets and convolutional coded descriptions transmitted over wireless channels, in contrast to existing approaches where hard decision is performed on the outcome of the inner channel code and outer FEC (Reed-Solomon code) is used to fill-up the erased descriptions. The simulation results over Rayleigh flat fading channel show significant improvement in received PSNR compared to baseline system.
In this paper, a low complexity multipledescription image coding scheme based on JPEG is proposed, which mitigates the image quality reduction due to packet loss during network transmission. The basic idea is to divi...
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ISBN:
(纸本)9789048136612
In this paper, a low complexity multipledescription image coding scheme based on JPEG is proposed, which mitigates the image quality reduction due to packet loss during network transmission. The basic idea is to divide an image into multipledescriptions through multipledescription scalar quantization (MDSQ) of DCT coefficients. Index assignment matrixes are produced according to the JPEG quantization table, which is implemented during the MDSQ process. Experimental results show that the proposed algorithm has a high transmission quality with lower computational complexity.
In audio communications over a lossy packet network, packet loss concealment techniques are needed to mitigate a user's frustration when perceiving the deterioration of the quality of the decoded signal. multiple ...
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ISBN:
(纸本)9781424448982
In audio communications over a lossy packet network, packet loss concealment techniques are needed to mitigate a user's frustration when perceiving the deterioration of the quality of the decoded signal. multiple description coding (MDC) is a useful solution to this problem. In this paper, we describe an MDC method to conceal packet losses for wideband audio streaming based on the sample splitting method in the time domain and encoding by an MPEG-I audio layer III (MP3) encoder. Experiments were conducted to compare the proposed method with several conventional methods, results confirming that our proposed method performs the playback of the decoded signal with sufficient quality for a range of bit rates from 160 to 320 kbps, even with a transmitted packet loss rate of 10%.
In this contribution a multiple description coding scheme for video transmission over unreliable channel is presented. The method is based on an integer wavelet transform and on a data hiding scheme for exploiting the...
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ISBN:
(纸本)9780819479259
In this contribution a multiple description coding scheme for video transmission over unreliable channel is presented. The method is based on an integer wavelet transform and on a data hiding scheme for exploiting the spatial redundancy and for reducing the scheme overhead. Experimental results show the effectiveness of the proposed scheme.
multiple description coding (MDC) is an effective technique for transmission of image and video signals over error-prone channels. Naturally, a good MDC system needs to guarantee a quality gain when more descriptions ...
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ISBN:
(纸本)9781424458516
multiple description coding (MDC) is an effective technique for transmission of image and video signals over error-prone channels. Naturally, a good MDC system needs to guarantee a quality gain when more descriptions are received. To this goal, a transform-domain overlapping technique can be used in the popular multipledescription scalar quantization (MDSQ) scheme. However, this overlapping technique often becomes inapplicable in multipledescription video coding (MDVC) because different reference frames are used in different descriptions at the motion-compensation stage. In this paper, we introduce a DCT-domain translation to solve this problem, i.e., after the translation, the overlapping technique can be applied to all predictive frames. We demonstrate that frames with a better quality can be composed upon receiving more descriptions. In particular, a remarkable objective quality gain (in terms of PSNR) has been observed.
The rate region of Gaussian multiple description coding with individual and central distortion constraints is completely characterized. Specifically, a lower bound and an upper bound are derived for each supporting hy...
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The rate region of Gaussian multiple description coding with individual and central distortion constraints is completely characterized. Specifically, a lower bound and an upper bound are derived for each supporting hyperplane of the rate region, where the lower bound is associated with a max-min game while the upper bound is associated with a min-max game;furthermore, it is shown that these two bounds coincide due to the existence of a saddle point.
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