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检索条件"主题词=joint source channel coding"

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ROBUST IMAGE COMPRESSION BASED ON COMPRESSIVE SENSING

ROBUST IMAGE COMPRESSION BASED ON COMPRESSIVE SENSING

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International Conference on Multimedia and Expo

作者： Deng, Chenwei Lin, Weisi Lee, Bu-sung Lau, Chiew Tong Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)9781424474936

The existing image compression methods (e.g., JPEG2000, etc.) are vulnerable to bit-loss, and this is usually tackled by channel coding that follows. However, source coding and channel coding have conflicting requirement. In this paper, we address the problem with an alternative paradigm, and a novel compressive sensing (CS) based compression scheme is therefore proposed. Discrete wavelet transform (DWT) is applied for sparse representation, and based on the property of 2-D DWT, a fast CS measurements taking method is presented. Unlike the unequally important discrete wavelet coefficients, the resultant CS measurements carry nearly the same amount of information and have minimal effects for bit-loss. At the decoder side, one can simply reconstruct the image via l(1) minimization. Experimental results show that the proposed CS-based image codec without resorting to error protection is more robust compared with existing CS technique and relevant joint source channel coding (JSCC) schemes.

关键词： Robust image compression Compressive sensing Packet-loss joint source channel coding

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Information Transmission in Networks with Social and Semantic Constraints

Information Transmission in Networks with Social and Semanti...

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作者： Guler, Basak PennState University Libraries

学位级别：Doctor of Philosophy

Modern networks are designed to facilitate the interaction between machines and humans. These networks consist of parties with different characteristics, goals, and interests. Although various practical systems have been developed to enable effective communication between networked parties, the theoretical performance limits of such systems are yet to be understood. In this thesis, we study the social and semantic aspects of communication. Unlike conventional communication networks, this necessitates taking into account the semantic relationships between words and phrases as well as the personal background and characteristics of the communicating parties. In the first part of this thesis, we study a point-to-point communication scenario where a transmitter wishes to send a semantic message, a word that carries a meaning, through a noisy channel. In addition to the received signal from the noisy channel, the receiver also has access to some context information related to the message. An external agent, however, can influence the receiver by affecting the context observed by the decoder. We model this scenario as a game with incomplete information, i.e., a Bayesian game, and study the conditions under which a pure strategy Nash equilibrium exists. The communication scenario is then extended to a dynamic setup, where the transmitter and the receiver can take actions sequentially while forming and updating their beliefs. In the second part, we consider communicating correlated sources over a multiple-access channel with a fidelity criterion. We show that if the encoders have access to some common observation conditioned on which the two sources are independent, then then separate source and channel coding is optimal if the common observation is to be recovered losslessly. We show that separation is also optimal if the encoders and the decoder has access to some side information conditioned on which the two sources are independent. Using the separation results developed,

关键词： bayesian games joint source channel coding social networks

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Distortion Estimation and Graph-based Transform for Visual Communications

Distortion Estimation and Graph-based Transform for Visual C...

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作者： Dong Zhang Simon Fraser University

学位级别：博士

In this thesis, we study several visual communications problems, including joint source- channel coding for single view video transmission, transmission distortion estimation for multiview video coding, and depth video coding for multiview video applications. The first contribution in this thesis is the design and implementation of an error-resilient video conferencing system. We first develop an algorithm to estimate the decoder-side dis- tortion in the presence of packet loss. We then design a family of very short systematic forward error correction (FEC) codes to recover lost packets. Finally, FEC codes are dy- namically optimized to minimize the distortion from packet loss. The proposed scheme is demonstrated on a real-time embedded video conferencing system. A similar joint source channel coding framework can also be applied to multiview video coding applications such as free-viewpoint TV. Therefore an algorithm is needed for the encoder to estimate the distortion of the synthesized virtual view. We first derive a graphical model to analyze how random errors in the reference depth image affect the synthesized virtual view. We then consider the case where packet loss occurs in both the encoded texture and depth images during transmission, and develop a recursive algorithm to calculate the pixel level texture and depth probability distributions in the reference views. The recursive algorithm is then integrated with the graphical model method to estimate the distortion in the synthesized view. The graph-based transform has been extensively used for depth image coding in multiview video applications. In this thesis, we aim to develop a single graph-based transform for a class of depth signals. We first propose a 2-D first-order autoregression (2-D AR1) model and a 2-D graph to analyze depth signals with deterministic discontinuities. We show that the inverse of the biased Laplacian matrix of the proposed 2-D graph is exactly the covariance matrix of the proposed 2-

关键词： joint source channel coding Multiview distortion estimation Graph transform

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A Novel UEP Algorithm Based on Error Resilient Arithmetic Code

A Novel UEP Algorithm Based on Error Resilient Arithmetic Co...

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5th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Yu, Ying-xin Wang, Gang Harbin Inst Technol Commun Res Ctr Harbin 150080 Peoples R China

ISBN: (纸本)9781424436927

The structure of JPEG2000 stream is applicable to unequal error protection (UEP) scheme to save the bandwidth. In this paper, a novel unequal error protection scheme which encodes each quality layer with ERAC of different code rates is proposed. Compared with UEP schemes based on sub-band, the proposed scheme reserves the structure of JPEG2000 standard stream and avoids complicate channel framing process. Simulation results show that performance of proposed scheme improves about 1dB with the same packet error rate.

关键词： joint source channel coding unequal error protection error resilient arithmetic code quality layer

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AN ERROR-RESILIENT VIDEO coding FRAMEWORK WITH SOFT RESET AND END-TO-END DISTORTION OPTIMIZATION 24

AN ERROR-RESILIENT VIDEO CODING FRAMEWORK WITH SOFT RESET AN...

引用

24th IEEE International Conference on Image Processing (ICIP)

作者： Li, Bohan Nanjundaswamy, Tejaswi Rose, Kenneth Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)9781509021758

Temporal prediction plays a crucial role in most video coding applications. However, due to error propagation via the prediction loop, it also increases the vulnerability to channel loss. The standard counter measure to mitigate error propagation is the 'intra refresh' mode, which in effect resets temporal prediction to block error propagation, but at a significant rate overhead. This on/off switch for temporal prediction is overly crude to optimize the compression-resilience tradeoff. In this paper, we propose a novel framework that significantly expands the options available to counter error propagation by introducing optimally controlled soft resets, wherein intra and inter predictions are combined with adjustable weights to control the dependency on previous frames while accounting for the overall rate and distortion. Since the optimal control of such soft resets can only be achieved if the encoder can effectively estimate its impact on the end-to-end distortion (EED), we propose to extend the well known recursive optimal per-pixel estimation (ROPE) approach to accurately account for the soft reset mode, then optimize encoder mode decisions to minimize the estimated EED for the given rate. Experimental results show that the proposed framework achieves significant performance gains for video streaming over unreliable networks.

关键词： End-to-end distortion joint source channel coding soft reset

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Error Resilient joint source-channel Adaptive Intra-Refresh Rate for Wireless Video Transmission 19

Error Resilient Joint Source-Channel Adaptive Intra-Refresh ...

引用

19th International Conference on Digital Signal Processing (DSP)

作者： dela Cruz, Angelo R. Cajote, Rhandley D. Univ Philippines Elect & Elect Engn Inst Quezon City Philippines

ISBN: (纸本)9781479946129

Intra-refresh in video coding is an efficient error control tool of video encoder in minimizing error propagation caused by unreliable network. However, when channel becomes reliable, intra-coded macroblocks (MBs) tend to increase quantization distortion. In this paper, we propose a method of adaptive intra-refresh rate (AIRR) by obtaining the optimum number of intra-coded MBs in a given frame based on the condition of the channel. This is achieved by estimating end-toend distortion at the encoder side which allows the encoder to adjust the refresh rate before encoding. In this work, we propose a quantization distortion model which estimates source distortion as functions of residual information and quantization parameter (QP). The residual information is estimated using the proposed mean-absolute difference (MAD) prediction model based on the linear relationship between intra-refresh rate and MAD. The proposed models are used to implement a joint source-channel AIRR (JSC-AIRR) scheme using standard H. 264/AVC encoder. Accurate estimate of the actual distortion at various refresh rates are achieved and able to estimate the distortion before encoding the frame. The proposed scheme is compared to random intra refresh scheme with various refresh rates and periodic intra refresh scheme. Average improvements of up to 1.54 dB in PSNR video quality are measured and subjective quality improvements are observed which proves the effectiveness of the proposed scheme especially in time varying channel conditions.

关键词： intra-refresh rate joint source channel coding quantization distortion error-control

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引用

作者： Liu, Wei Syracuse University

学位级别：Ph.D.

Correlation is often present among observations in a distributed system. This thesis deals with various design issues when correlated data are observed at distributed terminals, including: communicating correlated sources over interference channels, characterizing the common information among dependent random variables, and testing the presence of dependence among observations. It is well known that separated source and channel coding is optimal for point-to-point communication. However, this is not the case for multi-terminal communications. In this thesis, we study the problem of communicating correlated sources over interference channels (IC), for both the lossless and the lossy case. For lossless case, a sufficient condition is found using the technique of random source partition and correlation preserving codeword generation. The sufficient condition reduces to the Han-Kobayashi achievable rate region for IC with independent observations. Moreover, the proposed coding scheme is optimal for transmitting a special correlated sources over a class of deterministic interference channels. We then study the general case of lossy transmission of two correlated sources over a two-user discrete memoryless interference channel (DMIC). An achievable distortion region is obtained and Gaussian examples are studied. The second topic is the generalization of Wyner's definition of common information of a pair of random variables to that of N random variables. coding theorems are obtained to show that the same operational meanings for the common information of two random variables apply to that of N random variables. We establish a monotone property of Wyner's common information which is in contrast to other notions of the common information, specifically Shannon's mutual information and Gács and Körner's common randomness. Later, we extend Wyner's common information to that of continuous random variables and provide an operational meaning using the Gray-Wyner network with lossy

关键词： Common Information Correlated sources Interference channels joint source channel coding Test of Independence

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Opportunistic real-time video transmission over fading cognitive radio channels using hybrid digital analog coding

Opportunistic real-time video transmission over fading cogni...

引用

作者： Sudipto Debnath University of Manitoba

学位级别：硕士

Cognitive radio is a wireless communication paradigm that has achieved greater research attention due to the increasing demand for high-quality multimedia services and scarcity of the available spectrum to support these services. This paradigm allows unlicensed (secondary) users to access the unused spectrum portion of the licensed (primary) users dynamically. However, an unlicensed user faces a high level of uncertainty because of random arrivals of the licensed users, a varying channel quality, and variability in terms of number and capacity of the available channels. On the other hand, fixed-rate source-channel single-layer coding in the traditional wireless communication systems suffers greatly from the cliff effect and the lack of scalability. Therefore, most conventional wireless transmission schemes may not perform well in a cognitive radio environment which requires the source encoder to be adaptive to channel variations and the arrival-rate of the licensed users. This thesis proposes a new approach to reliable transmission of real-time video over cognitive radio channels based on a hybrid digital analog (HDA) joint source-channel (JSCC) superposition coding scheme. The proposed scheme is capable of adapting itself to channel variations, primary-user arrival-rates, and exploits both the high coding gain of a digital video codec and the inherent capability of analog coding to adapt to the time-varying channel signal-to-noise ratio (CSNR) of a wireless channel. Experimental results demonstrate that the proposed HDA coding approach is far superior to the digital layered coding (DLC), single-layer digital coding, and pure analog coding in terms of decoded video quality, quality scalability, robustness to imperfect channel estimation, and transmission power utilization. It has been observed that HDA coding produces a video quality which is on the average 2.5-4.0 dB higher in peak signal-to-noise ratio (PSNR) compared to single-layer digital coding and as much as

关键词： Secondary spectrum access Cognitive radio HDA coding Layered video coding joint source channel coding

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A source-channel Separation Theorem with Application to the source Broadcast Problem

A Source-Channel Separation Theorem with Application to the ...

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作者： Khezeli, Kia McMaster University

学位级别：master

A converse method is developed for the source broadcast problem. Specifically, it isshown that the separation architecture is optimal for a variant of the source broadcastproblem and the associated source-channel separation theorem can be leveraged, viaa reduction argument, to establish a necessary condition for the original problem,which uni es several existing results in the literature. Somewhat surprisingly, thismethod, albeit based on the source-channel separation theorem, can be used to provethe optimality of non-separation based schemes and determine the performance limitsin certain scenarios where the separation architecture is suboptimal.%%%%Thesis%%%%Master of Applied Science (MASc)

关键词： Network Information Theory Broadcast channels joint source channel coding Gaussian Broadcast channel Separation Theorem Side Information

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Optimal Multiresolution Quantization for Broadcast channels with Random Index Assignment

Optimal Multiresolution Quantization for Broadcast Channels ...

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作者： Teng, Fei University of Waterloo

学位级别：master

Shannon''s classical separation result holds only in the limit of infinite source code dimension and infinite channel code block length. In addition, Shannon theory does not address the design of good source codes when the probability of channel error is nonzero, which is inevitable for finite-length channel codes. Thus, for practical systems, a joint source and channel code design could improve performance for finite dimension source code and finite block length channel code, as well as complexity and delay. Consider a multicast system over a broadcast channel, where different end users typically have different capacities. To support such user or capacity diversity, it is desirable to encode the source to be broadcasted into a scalable bit stream along which multiple resolutions of the source can be reconstructed progressively from left to right. Such source coding technique is called multiresolution source coding. In wireless communications, joint source channel coding (JSCC) has attracted wide attention due to its adaptivity to time-varying channels. However, there are few works on joint source channel coding for network multicast, especially for the optimal source coding over broadcast channels. In this work, we aim at designing and analyzing the optimal multiresolution vector quantization (MRVQ) in conjunction with the subsequent broadcast channel over which the coded scalable bit stream would be transmitted. By adopting random index assignment (RIA) to link MRVQ for the source with superposition coding for the broadcast channel, we establish a closed-form formula of end-to-end distortion for a tandem system of MRVQ and a broadcast channel. From this formula we analyze the intrinsic structure of end-to-end distortion (EED) in a communication system and derive two necessary conditions for optimal multiresolution vector quantization over broadcast channels with random index assignment. According to the two necessary conditions, we propose a greedy iterative algor

关键词： multiresolution quantization broadcast channel joint source channel coding

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