1998
@article{ORC1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Michael Ortega and Yong Rui and Kaushik Chakrabarti and
Kriengkrai Porkaew and Sharad Mehrotra and Thomas S. Huang},
title = {Supporting Ranked Boolean Similarity Queries in {MARS}},
journal = {IEEE Transactions on Knowledge and Data Engineering},
volume = {10},
number = {6},
month = {December},
year = {1998},
url = {http://www-db.ics.uci.edu/pages/publications/1998/TR-MARS-98-13.ps},
url1 = {http://dlib.computer.org/tk/books/tk1998/pdf/k0905.pdf},
url2 = {http://www.research.microsoft.com/~yongrui/ps/tkde98.ps.Z},
abstract = {To address the emerging needs of applications that require
access to and retrieval of multimedia objects, we are developing the
\emph{Multimedia Analysis and Retrieval System} (MARS). In this paper,
we concentrate on the retrieval subsystem of MARS and its support for
content-based queries over image databases. Content-based retrieval
techniques have been extensively studied for textual documents in the
area of automatic information retrieval. This paper describes how these
techniques can be adapted for ranked retrieval over image databases.
Specifically, we discuss the ranking and retrieval algorithms developed
in MARS based on the Boolean retrieval model and describe the results
of our experiments that demonstrate the effectiveness of the developed
model for image retrieval.},
}