Observatorio de I+D+i UPM

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

Esta actividad pertenece a memorias de investigación

• Autor: Alberto Anguita Sanchez (UPM)
• Autor: Jose Crespo Del Arco (UPM)
• Autor: Victor Manuel Maojo Garcia (UPM)
• Autor: Miguel Garcia Remesal (UPM)

• Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
• Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB