Recently it was shown that the Lempel-Ziv'78, an encoder which has motivated many practical data compressors, does not have optimal redundancy for many classes of sources. The authors present work which shows that...
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Recently it was shown that the Lempel-Ziv'78, an encoder which has motivated many practical data compressors, does not have optimal redundancy for many classes of sources. The authors present work which shows that this redundancy can be significantly improved by use of an arithmetic code. Practical benefits obtained from this technique are also presented.
In recent years, with emerging applications such as multimedia sensors networks, wireless low-power surveillance and mobile camera phones, the traditional video coding architecture in being challenged. In fact, these ...
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ISBN:
(纸本)9781467312899
In recent years, with emerging applications such as multimedia sensors networks, wireless low-power surveillance and mobile camera phones, the traditional video coding architecture in being challenged. In fact, these applications have different requirements than those of the broadcast video delivery systems : a low power consumption at the encoder side is essential. In this context, we propose a pixel-domain video coding scheme which fits well in these senarios. In this system, both the arithmetic and turbo codes are used to encode the video sequence's frames. Simulations results show significant gains over Pixel-domain Wyner-Ziv video coding.
In this paper, we propose a connected-index approach to construct efficient finite-length arithmetic codes by splitting the information of the last nonfitting symbol into the current and subsequent codewords. The prop...
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In this paper, we propose a connected-index approach to construct efficient finite-length arithmetic codes by splitting the information of the last nonfitting symbol into the current and subsequent codewords. The proposed arithmetic codes, which limit the error propagation in about one block, require neither a post-appended end of-block symbol, nor pre-affixed side-information, to characterize the number of encoded symbols. Hence, the proposed finite-length arithmetic codes can nearly achieve the coding efficiency attained by infinite-length arithmetic codes. With high coding efficiency, limited error-propagation, and the regular process, the proposed coding approach is suitable for information exchange with small packets in modern high-speed network systems.
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CHEN, CHResearch Department
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arithmetic codes use a structured redundancy technique for binary number representation such that errors in an arithmetic operation of a digital computer can be detected or corrected. This correspondence studies the c...
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arithmetic codes use a structured redundancy technique for binary number representation such that errors in an arithmetic operation of a digital computer can be detected or corrected. This correspondence studies the code structures by treating the set of redundant coded binary representations as a finite Abelian group. An algebraic model of arithmetic codes is developed, which shows that an arithmetic code is a pair of cyclic group isomorphisms. Two theorems are derived which describe the necessary and sufficient conditions for the existence of an arithmetic code. It is also shown that the group of redundant coded binary numbers is isomorphic to a cyclic group, or the direct sum of two cyclic groups. For a given code generator A and the information cardinality m, the two theorems may be applied to find all existing arithmetic codes up to an isomorphism. The algebraic structures of all codes published to date are covered by the mathematical model described in this correspondence.
In this paper, we describe properties of punctured conditional arithmetic code for distributed source coding. A novel scheme using hierarchical interleaving has been developed to overcome non-stationarity in side chan...
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ISBN:
(纸本)9781424479948
In this paper, we describe properties of punctured conditional arithmetic code for distributed source coding. A novel scheme using hierarchical interleaving has been developed to overcome non-stationarity in side channel statistics. The simulation results show that this proposed approach has excellent sphere-packing properties and outperforms the one without interleaving.
This paper presents the implementation of the coarse-grained reconfigurable architecture (CGRA) DART with on-line error detection intended for increasing fault-tolerance. Most parts of the data paths and of the local ...
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This paper presents the implementation of the coarse-grained reconfigurable architecture (CGRA) DART with on-line error detection intended for increasing fault-tolerance. Most parts of the data paths and of the local memory of DART are protected using residue code modulo 3, whereas only the logic unit is protected using duplication with comparison. These low-cost hardware techniques would allow to tolerate temporary faults (including so called soft errors caused by radiation), provided that some technique based on re-execution of the last operation is used. Synthesis results obtained for a 90 nm CMOS technology have confirmed significant hardware and power consumption savings of the proposed approach over commonly used duplication with comparison. Introducing one extra pipeline stage in the self-checking version of the basic arithmetic blocks has allowed to significantly reduce the delay overhead compared to our previous design. (C) 2013 Elsevier B.V. All rights reserved.
A new dynamic Huffman encoding has been proposed recently (Shmuel et al., 2021), which instead of basing itself on the information gathered from the already processed portion of the file, as traditional adaptive codin...
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A new dynamic Huffman encoding has been proposed recently (Shmuel et al., 2021), which instead of basing itself on the information gathered from the already processed portion of the file, as traditional adaptive codings do, uses rather the information that is still to come. The current work extends this idea to bidirectional adaptive compression, taking both past and future into account, and not only performs at least as good as static Huffman, but also provably improves on the future-only based variant. We extend the technique to arithmetic coding and give both theoretical and empirical results that support the enhancement of the new compression algorithm.(c) 2023 Published by Elsevier B.V.
This paper investigates various classification techniques, applied to subband coding of images, as a way of exploiting the nonstationary nature of image subbands, The advantages of subband classification are character...
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This paper investigates various classification techniques, applied to subband coding of images, as a way of exploiting the nonstationary nature of image subbands, The advantages of subband classification are characterized in a rate-distortion framework in terms of ''classification gain'' and overall ''subband classification gain.'' Two algorithms, maximum classification gain and equal mean-normalized standard deviation classification, which allow unequal number of blocks in each class, are presented, The dependence between the classification maps from different subbands is exploited either directly while encoding the classification maps or indirectly by constraining the classification maps, The trade-off between the classification gain and the amount of side information is explored, Coding results for a subband image coder based on classification are presented, The simulation results demonstrate the value of classification in subband coding.
An entropy coder takes as input a sequence of symbol identifiers over some specified alphabet and represents that sequence as a bitstring using as few bits as possible, typically assuming that the elements of the sequ...
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An entropy coder takes as input a sequence of symbol identifiers over some specified alphabet and represents that sequence as a bitstring using as few bits as possible, typically assuming that the elements of the sequence are independent of each other. Previous entropy coding methods include the well-known Huffman and arithmetic approaches. Here we examine the newer asymmetric numeral systems (ANS) technique for entropy coding and develop mechanisms that allow it to be efficiently used when the size of the source alphabet is large-thousands or millions of symbols. In particular, we examine different ways in which probability distributions over large alphabets can be approximated and in doing so infer techniques that allow the ANS mechanism to be extended to support large-alphabet entropy coding. As well as providing a full description of ANS, we also present detailed experiments using several different types of input, including data streams arising as typical output from the modeling stages of text compression software, and compare the proposed ANS variants with Huffman and arithmetic coding baselines, measuring both compression effectiveness and also encoding and decoding throughput. We demonstrate that in applications in which semi-static compression is appropriate, ANS-based coders can provide an excellent balance between compression effectiveness and speed, even when the alphabet is large.
Dynamic compression methods continuously update the model of the underlying text file to be compressed according to the already processed part, assuming that such models accurately predict the distribution in the rema...
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Dynamic compression methods continuously update the model of the underlying text file to be compressed according to the already processed part, assuming that such models accurately predict the distribution in the remaining part. Since this premise is not necessarily true, we suggest to update the model only selectively. We give empirical evidence that this hardly affects the compression efficiency, while it obviously may save processing time and facilitate the use of the compression scheme for cryptographic applications. (c) 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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