Joint lossless-source and channel coding using automatic repeat request

Elmasry, George F.

doi:10.1109/26.774832

Cited by 28 publications

(18 citation statements)

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“…The author in 7] reintroduces redundancy in the form of parity c heck b i t s . A probability i n terval not assigned to a symbol of the source alphabet or markers inserted at known positions in the sequence of symbols are exploited for error detection in 3], 8], 25]. This capability can then be coupled with an ARQ procedure 4], 8] or used jointly with an error correcting code.…”

Section: Introductionmentioning

confidence: 99%

Soft decoding and synchronization of arithmetic codes: application to image transmission over noisy channels

Guionnet

Guillemot

2003

IEEE Trans. on Image Process.

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Abstract| This paper addresses the issue of robust and joint source-channel decoding of arithmetic codes. We rst analyze dependencies between the variables involved in arithmetic coding by means of the Bayesian formalism. This provides a suitable framework for designing a soft decoding algorithm that provides high error-resilience. It also provides a natural setting for "soft synchronization", i.e., to introduce anchors favoring the likelihood of "synchronized" paths. In order to maintain the complexity o f the estimation within a realistic range, a simple, yet e cient, pruning method is described. The algorithm can be placed in an iterative source-channel decoding structure, in the spirit of serial turbo codes. Models and algorithms are then applied to context-based arithmetic coding widely used in practical systems (e.g. JPEG-2000). Experimentation results with both theoretical sources and with real images coded with JPEG-2000 reveal very good error resilience performances.

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Section: Introductionmentioning

confidence: 99%

Soft decoding and synchronization of arithmetic codes: application to image transmission over noisy channels

Guionnet

Guillemot

2003

IEEE Trans. on Image Process.

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“…Unlike other marker strategies [3], our scheme is strongly related to CABAC framework. Placements of markers need to be finely designed to suit this framework.…”

Section: Marker Symbol Selectionmentioning

confidence: 99%

“…Special markers other than syntax elements are discouraged in this scheme, for cost saving in terms of computation. Other marker strategy such as average marker or most frequency marker technique [3] does not utilized under CABAC framework with the same consideration. New binary context are designed for markers, which is consistent with the CABAC model.…”

Section: Marker Symbol Selectionmentioning

confidence: 99%

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A Context-Based Error Detection Strategy into H.264/AVC CABAC

Xiong

Song

et al. 2006

2006 IEEE International Conference on Multimedia and Expo

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Various error control schemes have been addressed in wireless video stream transmission. By combining an adaptive binary arithmetic coding technique with context modeling, CABAC as a normative part of H.264/AVC has achieved a high degree of adaptation and redundancy reduction. However, error propagation still remains a problem because of the property of arithmetic coding. The presented scheme compares the various error detection methods, and proposes an efficient error detection technique based on CABAC semantics, which is achieved by inserting detective markers denoting by syntax elements. The misdetection probability versus stream size expansion can be easily handled. In addition, placements of markers can vary with regard to specific video content, thus efficiency within this scheme is enhanced. Comparison with other detection scheme is also presented.

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“…Moreover, AC exhibits poor resynchronization properties, and it is, thus, very sensitive to bit errors. In [13], an error recovery technique based on automatic repeat request (ARQ) is proposed by means of AC with proper insertion of markers, whereas an error detection technique using AC with markers is proposed in [14]. In [15] and [16], a minimum Hamming distance constraint is enforced among AC codewords so as to allow error correction at the decoder side.…”

Section: Introductionmentioning

confidence: 99%

Iterative Decoding of Serially Concatenated Arithmetic and Channel Codes With JPEG 2000 Applications

Grangetto

Scanavino

Olmo

et al. 2007

IEEE Trans. on Image Process.

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Abstract-In this paper, an innovative joint-source channel coding scheme is presented. The proposed approach enables iterative soft decoding of arithmetic codes by means of a soft-in soft-out decoder based on suboptimal search and pruning of a binary tree. An error-resilient arithmetic coder with a forbidden symbol is used in order to improve the performance of the joint source/channel scheme. The performance in the case of transmission across the AWGN channel is evaluated in terms of word error probability and compared to a traditional separated approach. The interleaver gain, the convergence property of the system, and the optimal source/channel rate allocation are investigated. Finally, the practical relevance of the proposed joint decoding approach is demonstrated within the JPEG 2000 coding standard. In particular, an iterative channel and JPEG 2000 decoder is designed and tested in the case of image transmission across the AWGN channel.

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Joint lossless-source and channel coding using automatic repeat request

Cited by 28 publications

References 1 publication

Soft decoding and synchronization of arithmetic codes: application to image transmission over noisy channels

Soft decoding and synchronization of arithmetic codes: application to image transmission over noisy channels

A Context-Based Error Detection Strategy into H.264/AVC CABAC

Iterative Decoding of Serially Concatenated Arithmetic and Channel Codes With JPEG 2000 Applications

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