A novel hybrid layered multipledescription video coding (HLMDVC) algorithm is proposed to provide a robust and flexible video transmission via unreliable networks, like Internet or the wireless network. First, the in...
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A novel hybrid layered multipledescription video coding (HLMDVC) algorithm is proposed to provide a robust and flexible video transmission via unreliable networks, like Internet or the wireless network. First, the input video sequence is encoded by a standard H.264/AVC encoder in low bit rate to form the base layer, which is then duplicated to each description. Second, the 3D dual-tree discrete wavelet transform is performed on the difference between the reconstructed base layer and the input sequence to produce four wavelet coefficient trees. Then the noise shaping is used to reduce the redundancy of these coefficient trees. After that, the four sparse wavelet coefficient trees are separately encoded by 3D-SPIHT encoders. The resulted four bitstreams are partitioned into two groups, separately forming enhancement layers of two descriptions. The redundancy of the proposed multipledescription video coding scheme can be easily adjusted by changing the bitrate of the base layer to fit for different transmission channels. The directional selectivity feature of 3D dual-tree discrete wavelet transform frees the enhancement layer coding from the time consuming motion estimation, such that no mismatch happens and the coding efficiency is improved. Simulation results have shown that the quality of the reconstructed video of the proposed HLMDVC algorithm is superior to that by the state-of-the-art multipledescription video coding methods.
A standard compliant multiple description coding based on regions of interest is presented for protecting a region of interest (ROI) in an image sent over lossy communication networks. The multiple description coding ...
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ISBN:
(纸本)9787900719706
A standard compliant multiple description coding based on regions of interest is presented for protecting a region of interest (ROI) in an image sent over lossy communication networks. The multiple description coding is introduced based on multiple-path transmit framework, which can offer a variety of tradeoff between transmission robustness and code efficiency, and the original model can be achieved by generating several subsets from the original image data. The proposed method exploit polyphase downsampling to split the original image date multipledescriptions. For the sake of protection, a higher bit rate is adopted in coding the ROI. Simulation shows the proposed method can offers intrinsic resiliency in case of loss in addition to effective ROI protection.
A multipledescription transform coding (MDTC) method has been reported previously. The redundancy rate distortion (RRD) performance of this coding scheme for the independent and identically distributed (i.i.d.) two-d...
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A multipledescription transform coding (MDTC) method has been reported previously. The redundancy rate distortion (RRD) performance of this coding scheme for the independent and identically distributed (i.i.d.) two-dimensional (2-D) Gaussian source has been analyzed using mean squared error (MSE) as the distortion measure. At the small redundancy region, the MDTC scheme can achieve excellent RRD performance because a small increase in redundancy can reduce the single description distortion at a rate faster than exponential, but the performance of MDTC becomes increasingly poor at larger redundancies. This paper describes a generalization of the MDTC (GMDTC) scheme, which introduces redundancy both by transform and through correcting the error resulting from a single description. Its RRD performance is closer to the theoretical bound in the entire range of redundancy. Analysis both for a single pair of variables and for multiple variables is presented.
We consider the problem of distributing video data from one sender to a population of interested clients. Deploying an overlay network with an application-layer multicast, we propose a scalable forward-error-correctio...
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We consider the problem of distributing video data from one sender to a population of interested clients. Deploying an overlay network with an application-layer multicast, we propose a scalable forward-error-correction-based, multiple-descriptioncoding packetization scheme to achieve optimal performance for each client.
multiple description coding (MDC) provides a favorable solution for human-centered image communication, which takes into account people's varying watching situations as well as people's demand for real-time im...
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multiple description coding (MDC) provides a favorable solution for human-centered image communication, which takes into account people's varying watching situations as well as people's demand for real-time image display. As an effective technique for MDC, three-description lattice vector quantization (3D-LVQ) is considered for image coding in this paper. Based on intra- and inter-correlation in the 3D-LVQ index assignment as well as wavelet intra-subband correlation, a novel predictive decoding method for 3D-LVQ-based image coding is proposed to enhance side decoding performance, which attempts to predict lost descriptions (sublattice points) in a good way for better reconstructions of wavelet vectors (fine lattice points) in the side decoding. Experimental results validate effectiveness of the proposed decoding scheme in terms of rate-distortion performance.
This paper proposes a rate controlled redundancy-adaptive multipledescription video coding method. The method adjusts the level of redundancy allocated to each macroblock based on an end to end distortion model that ...
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This paper proposes a rate controlled redundancy-adaptive multipledescription video coding method. The method adjusts the level of redundancy allocated to each macroblock based on an end to end distortion model that takes into account the effects of error propagation and concealment. Rate control at the macroblock level ensures that the total bit rate of all descriptions does not exceed the target rate. Results show that the proposed MDC codec can adapt very well to changing transmission conditions. Gains of up to 14 dB at high packet error rates (low SNR) were recorded when coupled with a MIMO architecture, with no perceptible performance deficit at low packet error rates (high SNR). 2011 Elsevier B.V. All rights reserved.
Video delivery over error prone channels suffer from packet loss, which significantly deteriorates the reconstructed video quality. multiple description coding (MDC) is an effective error resilient coding scheme for t...
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Video delivery over error prone channels suffer from packet loss, which significantly deteriorates the reconstructed video quality. multiple description coding (MDC) is an effective error resilient coding scheme for transmission of video over unreliable networks, where video is encoded into multipledescriptions having redundancy between them. The amount of redundancy between these descriptions has an important role in MDC, because it provides error resilience. In this paper, a new redundancy allocation scheme using visual saliency model is presented with an aim of achieving high decoding quality, when one or more than one descriptions are received at the decoder. The proposed MDC method splits the input video sequence into even and odd subsequences, which are independently encoded by using high efficiency video coding (HEVC) encoder. The missing frames in each description are predicted by using pixel interpolation and motion interpolation. The residual information is generated by using the interpolated frame and its adjacent frame from the other description, which represents the redundancy in each description. Residual information is encoded based on a visual saliency mask, which is generated using a global contrast based visual saliency model. In this work, two different modes are proposed for visual saliency based redundancy allocation to provide better perceptual quality, while decoding the descriptions. The proposed scheme is implemented on HEVC reference software HM 16.2 and compared with two state-of-the-art temporal subsampling based multipledescription video coding methods. Experiments show that the proposed method performs better than the reference methods, both in lossless and packet erasure channel conditions.
A class of infinite impulse response (IIR) perfect reconstruction (PR) filterbank is obtained with an allpass delay chain and finite impulse response (FIR) matrices at the analysis side. Such a formulation leads to a ...
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A class of infinite impulse response (IIR) perfect reconstruction (PR) filterbank is obtained with an allpass delay chain and finite impulse response (FIR) matrices at the analysis side. Such a formulation leads to a filterbank that can be optimized to any desired response. For a first-order allpass, the synthesis bank becomes FIR. Design examples showing warping of the frequency scale and filters with unequal passband widths are presented. The latter part of the work deals with designing a filterbank for a multiple description coding scenario. This is achieved in two parts: by, obtaining the MMSE synthesis bank for a given analysis bank and channel state and by optimizing the analysis response to minimize the average distortion in the presence of channel erasures and quantization. The proposed IIR filterbank, as well as the well-known FIR paraunitary filterbank, are optimized for various channels, and their performances for the two-channel case have been compared with the derived optimal performance.
The primary challenge to perform mobile sign language communication over cellular network is overcoming the data loss. We proposed a new multipledescriptions coding (MDC) for protecting regions of interest (ROI) in s...
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ISBN:
(纸本)9781479927654
The primary challenge to perform mobile sign language communication over cellular network is overcoming the data loss. We proposed a new multipledescriptions coding (MDC) for protecting regions of interest (ROI) in sign language video by combining the advantages of MDC and ROI coding. The set partitioning in hierarchical trees (SPIHT) algorithm is used to generate MDC streams, and these streams are divided into ROI streams and background (BG) streams. For protection of ROI, our method assigns different redundant trees to the two kinds streams, the fully coded trees are assigned as the redundant trees of the ROI streams, the partially coded trees are assigned as the redundant trees of the BG streams. Experiment results show that our method can further increase the reconstruction quality of the ROI over noisy channels compared with other regions of interest multiple description coding methods.
multiple description coding (MDC) is aimed at achieving transmission diversity for error resilient purposes by transmitting different coded descriptions of the same data. In this paper we analyze a poliphase subsampli...
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multiple description coding (MDC) is aimed at achieving transmission diversity for error resilient purposes by transmitting different coded descriptions of the same data. In this paper we analyze a poliphase subsampling MDC technique implemented by pre-processing and post-processing stages of a H.264/AVC standard compliant encoder and decoder. The pre-processing step performs a suitable interleaving that builds a synthetic sequence where each frame carries different subsampled frames of the original sequence. The synthetic sequence is ordinarily encoded and transmitted. At the receiver side, the H.264 decoder performs error concealment exploiting the multiple data descriptions, and the de-interleaving stage generates a decoded version of the original sequence. A robust restoration algorithm based on edge-preserving interpolation is then applied. Simulations show that the analyzed scheme improves the decoded video sequence quality both from an objective and from a subjective point of view.
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