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Proceedings Paper

A Beowulf Class parallel remote-sensed image database retrieval system developed in ASSIST environment
Author(s): Vincenzo Di Lecce; Andrea Guerriero; I. Guarino
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Paper Abstract

Image databases are now currently utilized in a wide range of different areas, in particular, the development and application of remote sensing platforms result in the production of huge amounts of image data. Though advanced image compression technology has solved part of the storage problem, searching and locating through such a database is still a difficult task. In the 90's Content-based Image Retrieval (CBIR) has gained increasing popularity among researchers, however, how to retrieve the content of an image efficiently and effectively still lacks of common recognition. This is because the low level features of an image including color, shape, texture, etc., which could be easily analyzed do not coincide with the high level concepts of an image. Another major problem in the practical implementation of a CBIR for remotely sensed images is that the content-based indexing and searching process always requires extremely high computational power. On the other hand, the content-based image retrieval algorithms are very suitable for parallel computation as the algorithms can be broken into several data independent processes for running on a parallel computer. In this paper, we discuss the porting problem of a sequential application of remote sensed image retrieval in a parallel environment using the new paradigm of programming introduced by born of a new structured program languages (Assist 1.2) and evaluate several skeletons composition to optimize the performance of our application.

Paper Details

Date Published: 17 January 2005
PDF: 9 pages
Proc. SPIE 5682, Storage and Retrieval Methods and Applications for Multimedia 2005, (17 January 2005); doi: 10.1117/12.587981
Show Author Affiliations
Vincenzo Di Lecce, Politecnico di Bari (Italy)
Andrea Guerriero, Politecnico di Bari (Italy)
I. Guarino, Politecnico di Bari (Italy)

Published in SPIE Proceedings Vol. 5682:
Storage and Retrieval Methods and Applications for Multimedia 2005
Rainer W. Lienhart; Noboru Babaguchi; Edward Y. Chang, Editor(s)

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