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Soft decoding of multiple descriptions

Soft decoding of multiple descriptions

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： T. Guionnet C. Guillemot E. Fabre INRIA IRISA Rennes France

A multiple description scalar quantization (MDSQ) based coding system can be regarded as a source coder (quantizer) followed by a channel coder, i.e. the combination of index and codeword assignment. The redundancy, or the correlation between the descriptions, is controlled by the number of diagonals covered by the index assignment. In this paper, we analyse dependencies between the variables involved in the MDSQ coding chain and design an estimation strategy making use of part of the global model of dependencies at each time. Inference of the hidden states of the connected models is done by applying belief propagation principles on the resulting Bayesian network. We try to evidence the most appropriate form of redundancy one should introduce in the context of variable length code compressed streams in order to fight against de-synchronizations when impaired by channel noise.

关键词： Decoding Bayesian methods Redundancy Delay Stochastic processes Quantization Belief propagation Context source coding Communication systems

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Automatic Parallelization with CodeT5+: A Model for Generating OpenMP Directives

Automatic Parallelization with CodeT5+: A Model for Generati...

引用

IEEE International Conference on Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS)

作者： Soratouch Pornmaneerattanatri Keichi Takahashi Yutaro Kashiwa Kohei Ichikawa Hajimu Iida Division of Information Science Nara Institute of Science and Technology Ikoma Japan Cyberscience Center Tohoku University Sendai Japan

ISBN: (数字)9798350383454

ISBN: (纸本)9798350383461

Efficient utilization of multi-core processor architectures requires the development of parallel programs. However, achieving optimized parallelization remains challenging, often requiring specialized expertise and substantial development time. Various tools, including automatic parallelization techniques, aim to facilitate this process by analyzing source code and identifying parallelizable sections. Despite their utility, conventional tools relying on static analysis struggle to comprehensively handle all potential parallel patterns. In contrast, recent Large Language Models (LLMs) have demonstrated exceptional capabilities in Natural Language Processing (NLP) tasks, and have begun to be adapted to address software engineering problems. Leveraging this advancement, we propose an automatic parallelization approach for OpenMP framework using LLMs. Our method utilizes the CodeT5+ model, pre-trained on diverse programming languages, to analyze and parallelize C/C++ source code by generating OpenMP directives. To validate our approach, we trained the model on a dataset sourced from public GitHub repositories, focusing on implementations using OpenMP. Experimental evaluation focused on parallelizing benchmarks from the NASA Parallel Benchmark (NPB) suite demonstrates promising results: Among eight benchmarks evaluated, our approach achieved speedups comparable to manually parallelized codes in two cases, moderate speedups in three cases, and encountered a problem in effectively parallelizing one benchmark. Overall, our model successfully parallelized 73% of the loops in NPB, showing its potential to enhance productivity in parallel programming tasks.

关键词： Productivity Adaptation models Computational modeling source coding Conferences Static analysis Benchmark testing Natural language processing Software engineering Software development management

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DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks

DocRes: A Generalist Model Toward Unifying Document Image Re...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Jiaxin Zhang Dezhi Peng Chongyu Liu Peirong Zhang Lianwen Jin South China University of Technology INTSIG-SCUT Joint Lab on Document Analysis and Recognition

ISBN: (数字)9798350353006

ISBN: (纸本)9798350353013

Document image restoration is a crucial aspect of Document AI systems, as the quality of document images significantly influences the overall performance. Prevailing methods address distinct restoration tasks independently, leading to intricate systems and the incapability to harness the potential synergies of multi-task learning. To overcome this challenge, we propose DocRes, a generalist model that unifies five document image restoration tasks including dewarping, deshadowing, appearance enhancement, deblurring, and binarization. To instruct DocRes to perform various restoration tasks, we propose a novel visual prompt approach called Dynamic Task-Specific Prompt (DTSPrompt). The DTSPrompt for different tasks comprises distinct prior features, which are additional characteristics extracted from the input image. Beyond its role as a cue for task-specific execution, DTSPrompt can also serve as supplementary information to enhance the model's performance. Moreover, DTSPrompt is more flexible than prior visual prompt approaches as it can be seamlessly applied and adapted to inputs with high and variable resolutions. Experimental results demonstrate that DocRes achieves competitive or superior performance compared to existing state-of-the-art task-specific models. This under-scores the potential of DocRes across a broader spectrum of document image restoration tasks. The source code is publicly available at https://***/ZZZHANGjx/DocRes.

关键词： Adaptation models Visualization Computer vision Image resolution Computational modeling source coding Feature extraction

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Research and Implement of DRM Baseband Encoder and Modulator Based on Embedded System

Research and Implement of DRM Baseband Encoder and Modulator...

引用

International Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCTC

作者： Nanhao Zhu Zhengxiang Li Qinbin Lu Engineering Research Center of Digital Audio and Video Ministry of Education Communication University of China Beijing China

ISBN: (纸本)9781424465972;9780769540115

DRM technology has been widely used in modern Digital AM Broadcasting. The design of DRM base band encoder and modulator based on embedded system is presented in order to realize less cost, smaller power loss and more portability for the DRM transmission system. The function of software modules are described in details combined with DRM standard, and relevant solutions are also presented for reference. Finally, the application of this base band encoder and modulator is analyzed.

关键词： Baseband Embedded system Channel coding Signal mapping Modulation coding Digital audio broadcasting Signal processing source coding Radio broadcasting Digital signal processing

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Design and Development of an Authoring Tool for XR-Based Engineering Training

Design and Development of an Authoring Tool for XR-Based Eng...

引用

IEEE International Conference on Engineering, Technology and Innovation

作者： Gabriel Alex Hassan Alaa Université de Lorraine ERPI Nancy France

ISBN: (数字)9798350362435

ISBN: (纸本)9798350362442

Interest in using AR and VR in education for improved learning and retention is growing. However, creating effective XR instructional content is challenging. To boost XR adoption in education, user-friendly authoring tools are essential. This study presents HELP XR, an authoring tool tailored for XR activities. Adopting an action research approach involving the user in an agile development process, this paper presents the architecture of the authoring tool, and examines the challenges associated with designing XR-based training and the inherent complexities it presents for authoring tools.

关键词： Training Vocabulary Technological innovation Authoring systems Translation source coding Virtual environments Standards Interoperability System analysis and design

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Variable-size vector entropy coding of speech and audio

Variable-size vector entropy coding of speech and audio

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Y. Shoham Bell Laboratories Lucent Technologies Inc. Murray Hill NJ USA

Many modern analog media coders employ some form of entropy coding (EC). Usually, a simple per-letter EC is used to keep the coder's complexity and price low. In some coders, individual symbols are grouped into small fixed-size vectors before EC is applied. We extend this approach to form variable-size vector EC (VSVEC) in which vector sizes may be from 1 to several hundreds. The method is, however, complexity-constrained in the sense that the vector size is always as large as allowed by a pre-set complexity limit. The idea is studied in the framework of a modified discrete cosine transform (MDCT) coder. It is shown experimentally, using diverse audio material, that a rate reduction of about 37% can be achieved. The method is, however, not specific to MDCT coding but can be incorporated in various speech, audio, image and video coders.

关键词： Entropy coding Speech coding Image coding Code standards Laboratories Video compression source coding Streaming media Huffman coding Arithmetic

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Third-order coding rate for universal compression of Markov sources

Third-order coding rate for universal compression of Markov ...

引用

IEEE International Symposium on Information Theory

作者： Nematollah Iri Oliver Kosut Arizona State University Tempe AZ US

ISBN: (纸本)9781467377058

We consider the universal source coding problem for first-order stationary, irreducible and aperiodic Markov sources for short blocklengths. Achievability is derived based on the previously introduced algorithm for universal compression of memoryless sources in the finite blocklengths, the Type Size Code, which encodes strings based on type class size. We derive the third-order asymptotic coding rate of the Type Size code for this model class. We also present a converse on the third-order coding rate for the general class of fixed-to-variable codes and show the optimality of Type Size codes for such Markov sources.

关键词： Markov processes source coding Entropy Reactive power Upper bound

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ICCCN 2008 Distinguished Invited Speakers

ICCCN 2008 Distinguished Invited Speakers

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International Conference on Computer Communications and Networks (ICCCN)

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Speech coding using modulo-PCM with side information

Speech coding using modulo-PCM with side information

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： V. Ramamoorthy Department of Electrical Engineering Linköping Institute of Technology Linkoping Sweden

The application of a new source coding scheme called Modulo-PCM with side information to speech coding is studied. The performance characteristics of an adaptive and a non-adaptive scheme are evaluated using two speec... 详细信息

关键词： Speech coding Decoding source coding Mean square error methods Distortion measurement Speech analysis Sequences Entropy coding Nonlinear distortion Nonlinear equations

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Debugging Unreproducible Builds using eBPF

Debugging Unreproducible Builds using eBPF

引用

Applied Artificial Intelligence and Computing (ICAAIC), International Conference on

作者： Vyom Yadav Himanshu Computer Science Engineering Chandigarh University Mohali India

ISBN: (数字)9798350375190

ISBN: (纸本)9798350375206

In software development, a key concept is “reproducible builds”. These are builds where the exact same output (identical bits) is generated every time the same source code is compliled with the same tools. Unfortunately, achieving this consistency isn’t always straightforward. Software artifacts built through a complex build system can introduce a challenge to pinpoint or give an idea about the reason for the unreproducibility of a build. With the build process spanning multiple stages, observability in the build system is crucial to determine the point of failure. eBPF solves the problem by allowing to tap into syscalls and process executions. In more straightforward terms, it helps to give an estimate on what could probably be the reason for the unreproducibility. Writing eBPF programs from scratch requires a great deal of knowledge and is not something every organisation would do to debug their unreproducible builds. This paper aims to provide a highlevel solution to observe the build process.

关键词： source coding Debugging Writing Software Observability Artificial intelligence Software development management

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