|
Descripción
|
|
|---|---|
| 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. | |
|
Internacional
|
Si |
|
Nombre congreso
|
International Conference on Computational Science, ICCS 2010 |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Amsterdam |
|
Revisores
|
Si |
|
ISBN o ISSN
|
18770509 |
|
DOI
|
10.1016 |
|
Fecha inicio congreso
|
31/05/2010 |
|
Fecha fin congreso
|
01/06/2010 |
|
Desde la página
|
2669 |
|
Hasta la página
|
2677 |
|
Título de las actas
|
Procedia Computer Science |