Multiple Description Image and Video Coding for Noisy Channels
Multiple Description Image and Video Coding for Noisy Channels

Author: Manuela Pereira

Publisher:

Published: 2004

Total Pages:

ISBN-13:

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This PhD thesis provides a new ways of looking multiple description method (MDC). We propose a robust joint source channel MDC method that is adapted to the transmission of images and videos on non stationary channels. The main advantage of this method is that it is well adapted for applications implying transmissions using unreliable and variable channels. Moreover, for its compression and synchronization capabilities it is appropriate for real time transmissions. We show that the proposed method present the best results, in terms of signal to noise ration and of visual quality, when compared with other multiple description methods existing in the state of the art. Moreover, it is well adapted for applications where the standard method of error control cannot easily adapt to the characteristics of the channel. The method is validated on various channel models (BSC, AWGN, Internet, UMTS, satellite) when considering image and video transmissions. The proposed MDBA is well adapted for application demanding a feedback-based encoder, as peer-to-peer video conferencing, wireless video, etc. But it is insufficient in a real video streaming system where the server may be a serving thousand of clients simultaneously. It is that the reason why we develop a system based in the MDBA but dedicated to video streaming. The last chapter of this dissertation presents an extension of the MDBA method to make streaming video robust to channel errors. The proposed method is rate adaptable, at the actual commercial methods, and it is also quality adaptable that is presented in the literature as an important characteristic of video streaming systems

Distributed Multiple Description Coding
Distributed Multiple Description Coding

Author: Huihui Bai

Publisher: Springer Science & Business Media

Published: 2011-11-19

Total Pages: 183

ISBN-13: 1447122488

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This book examines distributed video coding (DVC) and multiple description coding (MDC), two novel techniques designed to address the problems of conventional image and video compression coding. Covering all fundamental concepts and core technologies, the chapters can also be read as independent and self-sufficient, describing each methodology in sufficient detail to enable readers to repeat the corresponding experiments easily. Topics and features: provides a broad overview of DVC and MDC, from the basic principles to the latest research; covers sub-sampling based MDC, quantization based MDC, transform based MDC, and FEC based MDC; discusses Sleplian-Wolf coding based on Turbo and LDPC respectively, and comparing relative performance; includes original algorithms of MDC and DVC; presents the basic frameworks and experimental results, to help readers improve the efficiency of MDC and DVC; introduces the classical DVC system for mobile communications, providing the developmental environment in detail.

Source-channel Coding for Robust Image Transmission and for Dirty-paper Coding
Source-channel Coding for Robust Image Transmission and for Dirty-paper Coding

Author: Yong Sun

Publisher:

Published: 2007

Total Pages:

ISBN-13:

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In this dissertation, we studied two seemingly uncorrelated, but conceptually related problems in terms of source-channel coding: 1) wireless image transmissionand 2) Costa ("dirty-paper") code design. In the first part of the dissertation, we consider progressive image transmission over a wireless system employing space-time coded OFDM. The space-time coded OFDM system based on a newly built broadband MIMO fading model is theoretically evaluated by assuming perfect channel state information (CSI) at the receiver for coherent detection. Then an adaptive modulation scheme is proposed to pick theconstellation size that offers the best reconstructed image quality for each averagesignal-to-noise ratio (SNR).A more practical scenario is also considered without the assumption of perfect CSI. We employ low-complexity decision-feedback decoding for differentially space-time coded OFDM systems to exploit transmitter diversity. For JSCC, we adopt a product channel code structure that is proven to provide powerful error protection and bursty error correction. To further improve the system performance, we also apply the powerful iterative (turbo) coding techniques and propose the iterative decoding of differentially space-time coded multiple descriptions of images. The second part of the dissertation deals with practical dirty-paper code designs. We first invoke an information-theoretical interpretation of algebraic binning and motivate the code design guidelines in terms of source-channel coding. Then two dirty-paper code designs are proposed. The first is a nested turbo construction based on soft-output trellis-coded quantization (SOTCQ) for source coding and turbo trellis-coded modulation (TTCM) for channel coding. A novel procedure is devised to balance the dimensionalities of the equivalent lattice codes corresponding to SOTCQ and TTCM. The second dirty-paper code design employs TCQ and IRA codes fornear-capacity performance. This is done by synergistically combining TCQ with IRA codes so that they work together as well as they do individually. Our TCQ/IRA design approaches the dirty-paper capacity limit at the low rate regime (e.g., 1:0 bit/sample), while our nested SOTCQ/TTCM scheme provides the best performs so far at medium-to-high rates (e.g.,= 1:0 bit/sample). Thus the two proposed practical code designs are complementary to each other.

Image Analysis and Recognition
Image Analysis and Recognition

Author: Mohamed Kamel

Publisher: Springer

Published: 2005-10-10

Total Pages: 1302

ISBN-13: 3540319387

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ICIAR 2005, the International Conference on Image Analysis and Recognition, was the second ICIAR conference, and was held in Toronto, Canada. ICIAR is organized annually, and alternates between Europe and North America. ICIAR 2004 was held in Porto, Portugal. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. TheresponsetothecallforpapersforICIAR2005wasencouraging.From295 full papers submitted, 153 were ?nally accepted (80 oral presentations, and 73 posters). The review process was carried out by the Program Committee m- bersandotherreviewers;allareexpertsinvariousimageanalysisandrecognition areas. Each paper was reviewed by at least two reviewers, and also checked by the conference co-chairs. The high quality of the papers in these proceedings is attributed ?rst to the authors,and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, andwewholeheartedlythankthe reviewersfor theirexcellentwork,andfortheir timely response. It is this collective e?ort that resulted in the strong conference program and high-quality proceedings in your hands.