Advanced Techniques for Object-Based Image Retrieval

View Sample PDF

Author(s): Y. J. Zhang (Tsinghua University, Beijing, China)
Copyright: 2005
Pages: 6
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch014

Keywords: Information Resources Management / Information Science Reference / Library & Information Science

Purchase

View Advanced Techniques for Object-Based Image Retrieval on the publisher's website for pricing and purchasing information.

Abstract

Along with the progress of imaging modality and the wide utility of digital images (including video) in various fields, many potential content producers have emerged, and many image databases have been built. Because images require large amounts of storage space and processing time, how to quickly and efficiently access and manage these large, both in the sense of information contents and data volume, databases has become an urgent problem. The research solution for this problem, using content-based image retrieval (CBIR) techniques, was initiated in the last decade (Kato, 1992). An international standard for multimedia content descriptions, MPEG-7, was formed in 2001 (MPEG). With the advantages of comprehensive descriptions of image contents and consistence to human visual perception, research in this direction is considered as one of the hottest research points in the new century (Castelli, 2002; Zhang, 2003; Deb, 2004).

The IRMA Community

Research IRM

Advanced Techniques for Object-Based Image Retrieval

Purchase

Abstract

Related Content

IRMA Sponsors