Object based representations of spatial images

Shawn Newsam, Sitaram Bhagavathy, Charles Kenney and B.S. Manjunath
Department of Electrical and Computer Engineering
University of California, Santa Barbara
Leila Fonseca
INPE, Sao Jose dos Campos, Brazil


Object based representations of image data enable new content- related functionalities while facilitating management of large image databases. Developing such representations for multi-date and multi-spectral images is one of the objectives of the second phase of the Alexandria Digital Library (ADL) project at UCSB. Image segmentation and image registration are two of the main issues that are to be addressed in creating localized image representations. We present in this paper some of the recent and current work by the ADL's image processing group on robust image segmentation, registration, and the use of image texture for content representation. Built upon these technologies are techniques for managing large repositories of data. A texture thesaurus assists in creating a semantic classification of image regions. An object-based representation is proposed to facilitate data storage, retrieval, analysis, and navigation.
[PDF] [BibTex]
S. Newsam, S. Bhagavathy, L. Fonseca, C. Kenney and B. S. Manjunath,
Acta Astronautica, vol. 48, no. 5-12, pp. 567-577, Rio de Janeiro, Brazil, Jun. 2001.
Node ID: 311 , DB ID: 124 , VRLID: 81 , Lab: VRL , Target: Journal
Subject: [Object-Based Retrieval] « Look up more