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检索条件"任意字段=Parallel and Distributed Methods for Image Processing"

共 798 条记录，以下是671-680 订阅

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A new parallel vision environment in heterogeneous networked computing

A new parallel vision environment in heterogeneous networked...

引用

SPIE Conference on parallel and distributed methods for image processing II

作者： Kim, KN Choi, TS Ramakrishna, RS KJIST Dept Informat & Commun Kwangju South Korea

ISBN: (纸本)0819429074

Many vision tasks are very complex and computationally intensive. Rear time requirements further aggravate the situation. They usually involve both structured (low-level vision) and unstructured (high-level vision) computations. parallel approaches offer hope in this context. parallel approaches to vision tasks and scheduling schemes for their implementation receive special emphasis in this paper. Architectural issues are also addressed. The aim is to design algorithms which can be implemented on low cost heterogeneous networks running PVM. Issues connected with general purpose architectures also receive attention. The proposed ideas have been illustrated through a practical example (of eye location from an image sequence). Next generation multimedia environments are expected to routinely employ such high performance computing platforms.

关键词： computer vision software environment parallel computing heterogeneous networked computing PVM

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A new global-search method for designing filter banks

A new global-search method for designing filter banks

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SPIE Conference on parallel and distributed methods for image processing II

作者： Shang, Y Wah, BW Univ Missouri Dept Comp Engn Sci Columbia MO 65211 USA

ISBN: (纸本)0819429074

In this paper, are present a new global-search method for designing QMF (quadrature-mirror-filter) filter banks. We formulate the design problem as a nonlinear constrained optimization problem, using the reconstruction error as the objective, and the other performance metrics as constraints. This formulation allows us to search for designs that improve over the best existing designs. Due to the nonlinear nature of the performance metrics, the design problem is a nonlinear constrained optimization problem with many local minima. We propose to solve this design problem use global-search methods based on Lagrangian formulations. After transforming the original constrained optimization problem into an unconstrained form using Lagrange multipliers, we apply a new global-search method to find good solutions. The method consists of a coarse-level global-search phase, a fine-level global-search phase, and a local search phase, and is suitable for parallel computation due to the minimal dependency between various key components. In our experiments, we show that our method finds better designs than existing global-search methods, including simulated annealing and genetic algorithms.

关键词： filter bank global search nonlinear constrained optimization quadrature-mirror-filtering (QMF) parallel processing signal processing

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Method execution on a distributed image processing back-end 6

Method execution on a distributed image processing back-end

引用

6th Euromicro Workshop on parallel and distributed processing (PDP 98)

作者： Niederl, F Goller, A Graz Univ Technol A-8010 Graz Austria

ISBN: (纸本)0818683325

The rapid grow of both, the size of remote sensing data and the number of users in this field requires systems which are easy to use, platform independent and mighty. Currently, many users are not able to process Of even access data the way they would like to. Utilizing upcoming technologies like WWW, Java and CORBA, we propose a distributed system that connects users, data bases and method bases. Latter ones help users to find an appropriate sequence of methods for processing, and incorporating a broker they schedule execution onto fast remote processing units (back-ends). We discuss design considerations concerning the interaction of the back-end with other system components, and strategies for effective job distribution.

关键词： platform independent computing distributed processing inter-networking

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A parallel DSP with memory and I/O processors

A parallel DSP with memory and I/O processors

引用

SPIE Conference on parallel and distributed methods for image processing II

作者： Srini, VP Thendean, J Ueng, SZ Rabaey, JM Data Flux Syst Inc Berkeley CA 94709 USA

ISBN: (纸本)0819429074

The design and implementation of a parallel digital signal processing system on a chip containing 64 computational processors, 16 memory processors, and 16 I/O processors is described. The processors are interconnected by two levels of segmented buses. Each computational processor has a 16-bit data path and a control unit. The instruction set of the 16-bit processor supports computations on streams of data present in video, graphics, image processing, and digital communication applications. Two's complement arithmetic, saturation arithmetic, and packed instructions are supported. Higher data precision such as 32-bit and 64-bit can be achieved by cascading processors. The instruction memory of each computational processor has sixteen 40-bit words. Data streaming through the processor is manipulated by the instructions in the instruction memory. Multiple operations can be performed in a single cycle in a processor. A handshake protocol is used for synchronization between the sending and receiving processors. Six programmable registers are available in each computational processor for storing data. Each memory processor has a 256 x 16 storage unit for storing additional data The memory processors can be statically configured as a delay line, FIFO, lookup table or random access memory. For each memory processor there are four FSMs supporting the four configurations. The I/O processors are provided for external communication. Multiple parallel processing chips, digital output from sensors, and SRAM chips can be interconnected using the I/O processors. The VLSI chip implementing the processors is organized as 16 clusters interconnected by a statically programmable hierarchical bus structure. The buses are segmented by programming the switches on the bus. Each cluster has six 16-bit data buses and four 2-bit control buses for supporting communication between four computational processors, one memory processor, and one I/O processor. In addition, adjacent processors can com

关键词： parallel DSP memory processor image processing data driven processor data streaming

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Encoding MPEG-2 video batches using a multiprocessor machine

Encoding MPEG-2 video batches using a multiprocessor machine

引用

SPIE Conference on parallel and distributed methods for image processing II

作者： Kafil, M Ahmad, I Liou, ML Hong Kong Univ Sci & Technol Dept Comp Sci Kowloon Hong Kong

ISBN: (纸本)0819429074

We present a parallel MPEG-2 video encoder on the Intel Paragon parallel computer. Given a video sequence or a set of sequences, the aim of the encoder is to achieve the maximum possible encoding rate. To achieve this aim, the parallel encoder works by a combined scheduling of processors, I/O nodes, and disks, enabling the system to work in a highly balanced fashion through matching of the encoding and I/O rates. An efficient data layout scheme for video frames is also proposed in order for I/O to sustain the desired data transfer rates. Using a small percentage of processors as the I/O nodes, the utilization of the system is also high. More importantly, our encoder is scalable and with an increase in the number of processors will result in a proportional increase in the encoding rate. Given any machine configuration (that is, the number of compute processors, I/O processors, and disks), our propose strategy can logically partition the system and match the I/O and encoding rates to reach the ideal encoding rate. The experimental results indicate about two-fold gain in performance compared to the previous studies. Our approach is useful for compressing a large video sequence or batches of sequences.

关键词： MPEG-2 video encoding parallel processing scheduling Intel Paragon

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Fast indexing and searching for content-based image retrieval 7

Fast indexing and searching for content-based image retrieva...

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Visual Information processing VII

作者： You, J Shen, H Griffith Univ Sch Comp & Informat Technol Brisbane Qld 4111 Australia

ISBN: (纸本)0819428361

This paper presents a general approach to fast image indexing and searching for content-based image retrieval on a network of workstation clusters. Three primary issues in image retrieval are discussed: image feature extraction and representation, similarity measure, and searching methods. A wavelet based image feature extraction scheme is introduced to represent images with multiple features such as colours, textures and shapes. In addition a feature component code is proposed to facilitate a dynamic image indexing scheme where images are queried by different features or combinations. Furthermore, the relevance feedback technique for information retrieval is used to convert image feature vectors to weight-term vectors for efficient searching.

关键词： content-based image retrieval image indexing and searching image feature extraction/representation wavelet transform parallel implementation and distributed computing

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Detecting cracks by image analysis on a parallel computer

Detecting cracks by image analysis on a parallel computer

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International Computing Congress Held in Conjunction with ASCE Annual Convention and Exposition on Information Technologies in Civil Engineering - Leading the World

作者： Tillotson, HT Snaith, MS Huang, Y Univ Birmingham Sch Civil Engn Birmingham B15 2TT W Midlands England

ISBN: (纸本)0784403813

A survey vehicle using automated methods to measure road surface defects such as roughness rutting and cracking needs to travel at about normal road speed for safety reasons. Crack detection by image analysis leads to a requirement to process or store a very large number of images per kilometre if cracks down to 1-2mm are to be detected. The ideal would be to provide an effective method of processing the images as fast as they are collected. Such a real-time system is currently beyond conventional single-processor computers. The paper describes research using a massively-parallel computer system called a distributed Array of Processors (DAP) in which 1024 processors work simultaneously on the digitised image. it has proved possible to determine whether or not there are cracks in an image within real time with about 80% success. This may be adequate given that observers disagree more than they are unanimous in the classification of the same images.

关键词： Highway engineering

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Improved functional imaging through network based parallel processing 2nd

引用

2nd International Workshop on Communication, Architecture, and Applications for Network-Based parallel Computing (CANPC 98)

作者： Munz, F Stephan, T Maier, U Ludwig, T Bode, A Ziegler, S Nekolla, S Bartenstein, P Schwaiger, M Tech Univ Munich Klinikum Rechts Isar Nukl Med Klin & Poliklin D-8000 Munich Germany Tech Univ Munich Lehrstuhl Rechnertech & Rechnerorg D-8000 Munich Germany

ISBN: (纸本)3540641408

This paper deals with currently used algorithms for the reconstruction of functional images which run up to 60 hours or more on a single workstation and deal with hundreds of megabyte of data. A parallel implementation with high efficiency and almost linear speedup of a sophisticated iterative algorithm is given and its applicability to other reconstruction methods is shown. Whereas running this application on a high performance parallel computer is straightforward, there are more issues under production conditions as they are enforced by daily routine in a clinic. We adress the topic of fault tolerant parallelizing and batch queuing of programs which are typically written in a high level language like IDL or MATLAB and show how load balancing can preserve the ownership of workstations in a network of workstations (NOW) which is used for distributed computing during office hours.

关键词： functional imaging parallel image reconstruction load balancing batch queing network of workstations

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Method execution on a distributed image processing back-end

Method execution on a distributed image processing back-end

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Euromicro Workshop on parallel and distributed processing

作者： F. Niederl A. Goller Computer Graphics and Vision Graz University of Technology Graz Austria

The rapid grow of both, the size of remote sensing data and the number of users in this field requires systems which are easy to use, platform independent and mighty. Currently, many users are not able to process or even access data the way they would like to. Utilizing upcoming technologies like WWW, Java and CORBA, we propose a distributed system that connects users, data bases and method bases. Latter ones help users to find an appropriate sequence of methods for processing, and incorporating a broker they schedule execution onto fast remote processing units (backends). We discuss design considerations concerning the interaction of the back-end with other system components, and strategies for effective job distribution.

关键词： image processing Java Computer graphics Remote sensing Job design Web sites World Wide Web Internet distributed processing distributed computing

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NOW based parallel reconstruction of functional images

NOW based parallel reconstruction of functional images

引用

International Symposium on parallel processing

作者： F. Munz T. Stephan U. Maier T. Ludwig A. Bode S. Ziegler S. Nekolla P. Bartenstein M. Schwaiger Nuklearmedizinische Klinik und Poliklinik des Klinikums rechts der Isar Technische Universität München Munchen Germany Lehrstuhl für Rechnertechnik und Rechnerorganisation Technische Universität München Munchen Germany

This paper deals with the parallel implementation of reconstruction algorithms for functional imaging on a network of workstations (NOW). Algorithms which provide the best image quality are not used in clinical routine, because they have a runtime of up to 60 hours with real clinical data sets of several hundred megabytes. After giving an overview of currently used image reconstruction algorithms, we describe a general parallel implementation of these algorithms with almost linear speedup and high efficiency which cuts down the runtime to a feasible limit. The high load which is caused by the parallel application conflicts with the predominantly interactive usage of clinical workstations, therefore we address load balancing with an application oriented, adaptive mechanism in order to preserve the ownership of workstations. Furthermore we explain how the integration of MATLAB and IDL based applications with a conventional distributed queuing system (DQS) can be achieved and why this significantly improves usage in clinical routine.

关键词： image reconstruction Positron emission tomography Workstations Runtime Detectors Scattering Iterative methods image quality Load management MATLAB

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