Supporting ranked Boolean similarity queries in MARS

Michael Ortega; Yong Rui; Kaushik Chakrabarti; Kriengkrai Porkaew; Sharad Mehrotra; Thomas S. Huang

doi:10.1109/69.738357

Supporting ranked Boolean similarity queries in MARS

Michael Ortega, Yong Rui, Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Mehrotra, Thomas S. Huang

Coordinated Science Lab

Research output: Contribution to journal › Article

Abstract

To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) [29]. 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 [40], [4]. 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.

Original language	English (US)
Pages (from-to)	905-925
Number of pages	21
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	10
Issue number	6
DOIs	https://doi.org/10.1109/69.738357
State	Published - Dec 1 1998

Keywords

Boolean queries
Database management
Incremental query processing
Multimedia retrieval
Ranked retrieval

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Computational Theory and Mathematics

Access to Document

10.1109/69.738357

Fingerprint Dive into the research topics of 'Supporting ranked Boolean similarity queries in MARS'. Together they form a unique fingerprint.

Cite this

@article{695498dc52db424dae040bd9feb5ae61,

title = "Supporting ranked Boolean similarity queries in MARS",

abstract = "To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) [29]. 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 [40], [4]. 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.",

keywords = "Boolean queries, Database management, Incremental query processing, Multimedia retrieval, Ranked retrieval",

author = "Michael Ortega and Yong Rui and Kaushik Chakrabarti and Kriengkrai Porkaew and Sharad Mehrotra and Huang, {Thomas S.}",

year = "1998",

month = dec,

day = "1",

doi = "10.1109/69.738357",

language = "English (US)",

volume = "10",

pages = "905--925",

journal = "IEEE Transactions on Knowledge and Data Engineering",

issn = "1041-4347",

publisher = "IEEE Computer Society",

number = "6",

}

TY - JOUR

T1 - Supporting ranked Boolean similarity queries in MARS

AU - Ortega, Michael

AU - Rui, Yong

AU - Chakrabarti, Kaushik

AU - Porkaew, Kriengkrai

AU - Mehrotra, Sharad

AU - Huang, Thomas S.

PY - 1998/12/1

Y1 - 1998/12/1

N2 - To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) [29]. 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 [40], [4]. 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.

AB - To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) [29]. 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 [40], [4]. 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.

KW - Boolean queries

KW - Database management

KW - Incremental query processing

KW - Multimedia retrieval

KW - Ranked retrieval

UR - http://www.scopus.com/inward/record.url?scp=0032206888&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032206888&partnerID=8YFLogxK

U2 - 10.1109/69.738357

DO - 10.1109/69.738357

M3 - Article

AN - SCOPUS:0032206888

VL - 10

SP - 905

EP - 925

JO - IEEE Transactions on Knowledge and Data Engineering

JF - IEEE Transactions on Knowledge and Data Engineering

SN - 1041-4347

IS - 6

ER -