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Abstract
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| Managing large image collections has become an important issue for information companies and institutions. We present a cloud computing service and its application for the storage and analysis of very-large images. This service has been implemented using multiple distributed and collaborative agents. For image storage and analysis, a regionoriented data structure is utilized, which allows storing and describing image regions using low-level descriptors. Different types of structural relationships between regions are also taken into account. A distinctive goal of this work is that data operations are adapted for working in a distributed mode. This allows that an input image can be divided into different sub-images that can be stored and processed separately by different agents in the system, facilitating processing very-large images in a parallel manner. A key aspect to decrease processing time for parallelized tasks is the use of an appropriate load balancer to distribute and assign tasks to agents with less workload. | |
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International
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Si |
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Congress
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International Conference on Computational Science, ICCS 2010 |
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960 |
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Place
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Amsterdam |
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Reviewers
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Si |
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ISBN/ISSN
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18770509 |
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10.1016 |
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Start Date
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31/05/2010 |
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End Date
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01/06/2010 |
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From page
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2669 |
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To page
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2677 |
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Procedia Computer Science |