Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |

dvmmPub125

Shih-Fu Chang, John R. and Mandis Beigi Smith, Ana B. Benitez. Visual Information Retrieval from Large Distributed On-line Repositories. Communications of the ACM, 40(12):63-71, December 1997.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

Based on our experience in developing visual information retrieval system (VIRS) in the Web-based environment, we present our views of the present and future of VIRS, particularly those providing access to large distributed on-line repositories. We will discuss the role of content-based visual query, present a taxonomy for classifying existing VIRS, present a working Internet VIRS as a case study, describe a preliminary prototype of Internet meta VIRS, and finally make some bold conjectures about the dominant challenging in developing scalable VIRS for the future Internet environment

Contact

Shih-Fu Chang
John_R. Smith
Ana_B. Benitez

BibTex Reference

@article{dvmmPub125,
   Author = {Chang, Shih-Fu and Smith, John R.    and Mandis Beigi and Benitez, Ana B.},
   Title = {Visual Information       Retrieval from Large Distributed On-line Repositories},
   Journal = {Communications of the ACM},
   Volume = {40},
   Number = {12},
   Pages = {63--71},
   Month = {December},
   Year = {1997}
}

EndNote Reference [help]

Get EndNote Reference (.ref)

 
bar

For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).