Video streaming over unreliable networks requires preventive measures to avoid quality deterioration in the presence of packet losses. However, these measures result in redundancy in the transmitted data which is util...
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ISBN:
(纸本)9781467372183
Video streaming over unreliable networks requires preventive measures to avoid quality deterioration in the presence of packet losses. However, these measures result in redundancy in the transmitted data which is utilized to estimate the missing packets lost in the delivered portions. In this paper, we have used the self-similarity property if the discrete wavelet transform (DWT) to minimize the redundancy and improve the fidelity of the delivered video streams in presence of data loss. Our proposed method decomposes the video into multipledescriptions after applying the DWT. The descriptions are organized in such a way that when one of them is lost during transmission, it is estimated using the delivered portions by means of self-similarity between the DWT coefficients. In our experiments, we compare video reconstruction in the presence of data loss in one or two descriptions. Based on the experimental results, we have ascertained that our estimation method for missing coefficients by means of self-similarity is able to improve the video quality by 2.14dB and 7.26dB in case of one description and two descriptions, respectively. Moreover, our proposed method outperforms the state-of-the-art Forward Error Correction (FEC) method in case of higher bit-rates.
We proposed in this paper a novel multipledescription scalable coding (MDSC) scheme based on in-band motion compensation temporal filtering (IBMCTF) technique in order to achieve high video coding performance and rob...
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ISBN:
(纸本)0819456578
We proposed in this paper a novel multipledescription scalable coding (MDSC) scheme based on in-band motion compensation temporal filtering (IBMCTF) technique in order to achieve high video coding performance and robust video transmission. The input video sequence is first split into equal-sized groups of frames (GOFs). Within a GOF, each frame is hierarchically decomposed by discrete wavelet transform. Since there is a direct relationship between wavelet coefficients and what they represent in the image content after wavelet decomposition, we are able to reorganize the spatial orientation trees to generate multiple bit-streams and employed SPIHT algorithm to achieve high coding efficiency. We have shown that multiple bit-stream transmission is very effective in combating error propagation in both Internet video streaming and mobile wireless video. Furthermore, we adopt the IBMCTF scheme to remove the redundancy for inter-frames along the temporal direction using motion compensated temporal filtering, thus high coding performance and flexible scalability can be provided in this scheme. In order to make compressed video resilient to channel error and to guarantee robust video transmission over mobile wireless channels, we add redundancy to each bit-stream and apply error concealment strategy for lost motion vectors. Unlike traditional multipledescription schemes, the integration of these techniques enable us to generate more than two bit-streams that may be more appropriate for multiple antenna transmission of compressed video. Simulate results on standard video sequences have shown that the proposed scheme provides flexible tradeoff between coding efficiency and error resilience.
multiple description coding (MDC) of video is a useful technique for robust video transmission over unreliable networks. MDC not only provides at least acceptable quality of video in error-prone network but it also ef...
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ISBN:
(纸本)9781424414369
multiple description coding (MDC) of video is a useful technique for robust video transmission over unreliable networks. MDC not only provides at least acceptable quality of video in error-prone network but it also efficiently utilizes the multipath nature of internet and wireless networks. In this paper, multipledescription video coding with 3-D Set Partitioning in Hierarchical Tree (3D-SPIHT) codec has been proposed. In particular, we propose branch-pruning technique to generate multipledescriptions. We then propose a new tree structure for 3D-SPIHT which is particularly efficient for MDC. Experimental results prove the effectiveness of the proposed method.
multiple description coding (MDC) is a way of trading off coding gain with robustness to channel errors This paper presents a novel and efficient two-description image coding scheme in wavelet domain Here, the two-lay...
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ISBN:
(纸本)9783642104664
multiple description coding (MDC) is a way of trading off coding gain with robustness to channel errors This paper presents a novel and efficient two-description image coding scheme in wavelet domain Here, the two-layered MDC method is adopted based on the feature of wavelet coefficients Firstly, the low-frequeney wavelet coefficients are partitioned into two new correlated groups as two basic descriptions with pairwise correlating transform (PCT) Secondly, we can get two enhanced descriptions from the high-frequency wavelet subbands of the highest-level decomposition by adaptive down-sampling Finally. four template operators are adopted to detect the texture direction of high-frequeney subbands, and we use the Wavelet Domain In for tree Reconstruction (WDIR) to conceal coefficients loss in Wavelet-Trees with the texture direction when one enhanced description lost during transmission Experimental results demonstrate that the proposed MDC scheme can achieve good coding performance
The encoded bitstream of a typical video compression method is vulnerable to errors during transmission over lossy network. multiple description coding (MDC) is an error resilient video coding suitable for real-time a...
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ISBN:
(纸本)9781479977833
The encoded bitstream of a typical video compression method is vulnerable to errors during transmission over lossy network. multiple description coding (MDC) is an error resilient video coding suitable for real-time applications when retransmission is unacceptable. Subsampling-based MDC with error concealment is often effective for mitigating unpredictable losses. In this paper, a spatial subsampling based MDC with an adaptive concealment method is described. Error concealment is done using the motion information from its spatial-temporal neighbors. Preliminary experimental results exhibit the efficacy of the proposed method.
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 error resilient video coding method suitable for real-time applications when retransmission is unacceptable. A four description MDC architecture is described with temporal and s...
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ISBN:
(纸本)9781479902941
multiple description coding (MDC) is an error resilient video coding method suitable for real-time applications when retransmission is unacceptable. A four description MDC architecture is described with temporal and spatial error concealment capabilities at the decoder. In this paper, we present an adaptive error concealment method using error estimation. Experimental results demonstrate the efficacy of the proposed method.
This paper proposes an optimized, low-complexity methodology that combines Joint Source-Channel coding (JSCC) based on Forward Error Correction (FEC) coding and scalable multiple description coding (MDC) mechanisms fo...
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ISBN:
(纸本)9781424436095
This paper proposes an optimized, low-complexity methodology that combines Joint Source-Channel coding (JSCC) based on Forward Error Correction (FEC) coding and scalable multiple description coding (MDC) mechanisms for error-resilient data transmission over error-prone packet-based channels. Additionally, we report a comparative theoretical analysis between (i) MDC, and FEC-based scalable JSCC for sources encoded using (ii) Single descriptioncoding (SDC) and (iii) MDC. Our analysis assumes ideal source coders that can achieve the theoretical performance bounds for a Gaussian source. This source model is independent of the actual implementation and therefore allows to draw conclusions on the theoretical performance of these approaches and to determine which methodology should be employed in specific transmission scenarios.
multiple description coding (MDC) is a type of error-resilient source coding that is advantageous for communications over channels with high loss and long delays. While neural network-based MDC promises higher compres...
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ISBN:
(纸本)9798350303582;9798350303599
multiple description coding (MDC) is a type of error-resilient source coding that is advantageous for communications over channels with high loss and long delays. While neural network-based MDC promises higher compression efficiency and better semantic awareness, the aspect of semantic awareness is under-investigated. This paper is among the first efforts to study MDCs with competing performance goals known as the distortion-classification tradeoff. A new design concept called semantic polarization is proposed to contradict the traditional philosophy of balanced side encoder designs. We present a simple conceptual model to demonstrate the advantage of polarized MDC in having higher probabilities of satisfying at least one performance goal. We also propose a detailed implementation of polarized MDC based on SRGANs. Experiments on public datasets show that compared with state-of-the-art single description neural image codecs, the proposed MDC has multiple benefits in terms of enlarged rate range, superior semantic protection, and better perception quality, at the cost of slightly reduced but competitive distortion performance.
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.
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