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9th France-Japan and 7th Europe-Asia Congress on Mechatronics (MECHATRONICS) / 13th International Workshop on Research and Education in Mechatronics (REM)

作者： Fard, Farzad Norouzi Broumandnia, Ali Mohammadi, Sasan Islamic Azad Univ Dept Mechatron South Tehran Branch Tehran Iran

ISBN: (纸本)9781467347716;9781467347723

a decretive concern in distributed computing systems is to efficiently schedule the tasks among all processors so that the overall processing time of the submitted tasks is at a minimum. In this article, following the recently evolved paradigm, referred to as is divisible load theory (DLT), we conducted an experimental study on the time performance to processes a large volume of image data on a network of workstations. We present our program model and timing mechanism for the distributed image processing and finally display effects of delta parameter and test cases in our mentioned algorithm.

关键词： distributed image processing divisible load theory heterogeneous computing Branch & Bound algorithm Divisible Load Scheduling

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distributed image processing for Automated Lecture Capture Post-Production

Distributed Image Processing for Automated Lecture Capture P...

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IEEE International Symposium on Multimedia

作者： Thompson, Craig Brooks, Christopher Greer, Jim Univ Saskatchewan Dept Comp Sci Saskatoon SK S7N 0W0 Canada

ISBN: (纸本)9781424440894

This paper describes a low-cost distributed computing approach for the post-processing of videos. It has been implemented to support the creation of composite videos from various video sources, and supports image manipulation on individual frames of the video. The principle deployment scenario for this work has been to support the automatic creation of output video based on traditional face-to-face lectures. Experimental results suggest that this approach can lead to significant speedups with a reduction in operating costs by leveraging existing underutilized equipment.

关键词： capture coursecast distributed image processing lecture podcast vodcast

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Design of contract net protocol-based distributed image processing system

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INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND distributed SYSTEMS 2014年第3期12卷 259-274页

作者： Prajapati, Harshad B. Shah, Vipul A. Dharmsinh Desai Univ Fac Technol Informat Technol Dept Coll Rd Nadiad 387001 Gujarat India Dharmsinh Desai Univ Fac Technol Instrumentat & Control Engn Dept Nadiad 387001 Gujarat India

In the current era of large scale distributed computing, users voluntarily donate computation power of their idle computers or desktop machines. However, there is an urgent need of a utility-based distributed problem solving environment to attract more users. Related to applying the utility concept, we are working on design and implementation of a distributed image processing system that uses: 1) contract net protocol for task assignment;2) concept of utility-based distributed computing;3) task graph concept for application design. In this paper, we present our results of the design aspects of the system. We propose the design of contract net protocol-based distributed image processing system and analyse characteristics of the proposed system. We evaluate and select available options for implementation of the system. The proposed system allows transparent execution of task graph-based applications in a distributed environment.

关键词： contract net protocol CNP distributed image processing distributed image processing system distributed problem solving environment task scheduling algorithm.

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An outdoor autonomously moving robot using a distributed image processing system

An outdoor autonomously moving robot using a distributed ima...

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11th World Multi-Conference on Systemics, Cybernetics and Informatics/13th International Conference on Information Systems Analysis and Synthesis

作者： Sato, Minami Goto, Hiroki Abe, Norihiro Taki, Hirokazu He, Shoujie Kyushu Inst Technol 680-4 Kawazu Fukuoka 8208502 Japan

ISBN: (纸本)9781934272169

This study aims at building an autonomous robot that is capable of comprehending complicated image processing algorithms rapidly and concurrently via a wireless communication network. The entire system includes a mobile robot, a network camera mounted on the mobile robot, a wireless LAN, and a distributed image processing system. images captured by the network camera are first transmitted to one of the clustered computers through the wireless LAN. The computer receiving the images then distributes the images to the other computers in the cluster. The image processing results will be collected and reported back to the robot through the wireless LAN also by the same computer. With the clustered computers, multiple image-processing algorithms could be applied to a single image in a concurrent fashion. As an experiment, the mobile robot has been put on a street. In order for the mobile robot to move autonomously on the street, three targets including white lines on the road, static and moving obstacles, have been identified necessary for the distributed image processing system to detect. The experimental results indicate that the distributed image processing system successfully meet the needs for the autonomous movement of the mobile robot.

关键词： network distributed image processing autonomously moving robot

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Capabilities and Objectives of distributed image processing on Smart Camera Systems

Capabilities and Objectives of Distributed Image Processing ...

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18th IEEE Symposium on Computers and Communications (ISCC)

作者： Golembewski, Rene Goering, Steve Schaefer, Guenter Ilmenau Univ Technol Ilmenau Germany

ISBN: (纸本)9781479937554

The challenge of bringing more intelligence to the infrastructure of modern cities requires a change of thinking and states a demand for new algorithms and strategies. One important outcome of those algorithms is a realtime estimation of the prevalent spatio-temporal conditions of public transportation networks by making use of distributed image processing on networked smart camera systems. This paper provides a detailed analysis of two exemplary networked applications that can use the derived data. A conducted simulation study based on the infrastructure of real cities shows the potential of using autonomously generated knowledge, that smart camera systems can provide. Especially, inter-camera object tracking, as well as adaptive and smart navigation tasks can benefit considerably and substantiate the need for autonomous and confidential image processing.

关键词： distributed image processing Smart cameras image processing INFRASTRUCTURE Transport networks

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distributed image processing scheduling in heterogeneous computing network systems

Distributed image processing scheduling in heterogeneous com...

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Int'l Workshop on Mechatronics (MECATRONICS) , France-Japan & Europe-Asia Congress on and Research and Education in Mechatronics (REM)

作者： Farzad Norouzi Fard Ali Broumandnia Sasan Mohammadi Department of Mechatronics Islamic Azad University Tehran Iran

ISBN: (纸本)9781467347709

A decretive concern in distributed computing systems is to efficiently schedule the tasks among all processors so that the overall processing time of the submitted tasks is at a minimum. In this article, following the recently evolved paradigm, referred to as divisible load theory (DLT), we conducted an experimental study on the time performance to process a large volume of image data on a network of workstations. We present our program model and timing mechanism for the distributed image processing and finally display effects of δ parameter and test cases in our mentioned algorithm.

关键词： distributed image processing divisible load theory heterogeneous computing Branch & Bound algorithm. Divisible Load Scheduling. distributed image processing timing mechanism distributed computing system networks of workstations image data Religious Missions processing time CASING INSPECTION PROCESSOR

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distributed autonomous agents for Chinese document image segmentation

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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 1998年第1期12卷 97-118页

作者： Liu, JM Tang, YY Baptist Univ Dept Comp Studies Kowloon Hong Kong

In Chinese document image processing, text and/or graphical block detection serves as an essential step in document layout analysis that in turn permits the effective reasoning about the logical relationships among various text paragraphs and graphical entities for the purpose of document understanding. This paper presents a novel computational paradigm for extracting text/graphic blocks from Chinese document images, which is based on a notion of distributed autonomous agents. The primary features of the agents lie in that they are (1) adaptive to the locality of given images and hence efficient in locating the homogeneous image blocks, (2) reliable in performing image processing as the computation proceeds simultaneously from different image locations, (3) less sensitive to the noise in the given images as the computation disperses gracefully when it is moving away from the homogeneous blocks, and (4) easy to represent in their behaviors and evolvable in their performance. The paper, first of all, describes the formalisms as well as the behavioral characteristics of the agents, which is followed by a demonstration of the agents in detecting document blocks from some real-life images.

关键词： autonomous agents distributed image processing document segmentation

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distributed HIERARCHICAL REGULARIZATION SYSTEM FOR RECOGNITION OF PLANAR SURFACES

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OPTICAL ENGINEERING 1993年第6期32卷 1167-1192页

作者： REGAZZONI, CS FORESTI, G MURINO, V Univ. degli Studi di Genova (Italy) Univ. degli Studi di Genova (Italy) Univ. Degli Studi di Genova (Italy)

The architecture of a distributed vision system is presented, with particular attention directed to the bottom-up indexing mechanism performed by a hierarchically organized network of information processing (IP) modules. Each IP module adaptively transforms input data passed by lower-level modules into more complete observations and performs a transformation that is modeled as a regularization process. This scheme is applied to the problem of recognizing objects whose 3-D shape can be described as a set of planar surfaces. Edge detection, straight-line extraction, grouping, and matching are the IP modules considered. In particular, the regularization process consists of either a voting scheme or a Markov random field labeling process, depending on the level. At the higher level, a degree of belief is given about the presence of objects contained in the scene and considered in the model database. Results demonstrate both the validity of the processes applied separately at each level and the global consistency of the method.

关键词： distributed image processing REGULARIZATION THEORY BAYESIAN NET-WORK HOUGH TRANSFORM MARKOV RANDOM FIELDS PLANAR OBJECT RECOGNITION

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A distributed Canny Edge Detector: Algorithm and FPGA Implementation

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IEEE TRANSACTIONS ON image processing 2014年第7期23卷 2944-2960页

作者： Xu, Qian Varadarajan, Srenivas Chakrabarti, Chaitali Karam, Lina J. Arizona State Univ Sch Elect Comp & Energy Engn Tempe AZ 85281 USA

The Canny edge detector is one of the most widely used edge detection algorithms due to its superior performance. Unfortunately, not only is it computationally more intensive as compared with other edge detection algorithms, but it also has a higher latency because it is based on frame-level statistics. In this paper, we propose a mechanism to implement the Canny algorithm at the block level without any loss in edge detection performance compared with the original frame-level Canny algorithm. Directly applying the original Canny algorithm at the block-level leads to excessive edges in smooth regions and to loss of significant edges in high-detailed regions since the original Canny computes the high and low thresholds based on the frame-level statistics. To solve this problem, we present a distributed Canny edge detection algorithm that adaptively computes the edge detection thresholds based on the block type and the local distribution of the gradients in the image block. In addition, the new algorithm uses a nonuniform gradient magnitude histogram to compute block-based hysteresis thresholds. The resulting block-based algorithm has a significantly reduced latency and can be easily integrated with other block-based image codecs. It is capable of supporting fast edge detection of images and videos with high resolutions, including full-HD since the latency is now a function of the block size instead of the frame size. In addition, quantitative conformance evaluations and subjective tests show that the edge detection performance of the proposed algorithm is better than the original frame-based algorithm, especially when noise is present in the images. Finally, this algorithm is implemented using a 32 computing engine architecture and is synthesized on the Xilinx Virtex-5 FPGA. The synthesized architecture takes only 0.721 ms (including the SRAM READ/WRITE time and the computation time) to detect edges of 512 x 512 images in the USC SIPI database when clocked at 100 MHz

关键词： distributed image processing Canny edge detector high throughput parallel processing FPGA

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A practical approach of task scheduling and load balancing on heterogeneous distributed raytracing systems

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INFORMATION processing LETTERS 2001年第2期79卷 65-71页

作者： Qureshi, K Hatanaka, M Muroran Inst Technol Dept Comp Sci & Syst Engn Muroran Hokkaido 0508585 Japan

Discusses a study which described the adaptive runtime task scheduling (ARTS) strategy for Heterogeneous distributed Computing systems for raytracing applications. Features of the ARTS strategy; Components of ARTS; Im... 详细信息

关键词： distributed image processing adaptive task scheduling heterogeneous distributed systems distributed systems

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