Using relevance feedback in content-based image metasearch

被引：34

作者：

Benitez, AB ^{[1
]}

Beigi, M

Chang, SF

机构：

[1] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA

[2] Columbia Univ, New Media Technol Ctr, New York, NY 10027 USA

[3] Columbia Univ, Digital Lib Project, New York, NY 10027 USA

[4] IBM Corp, TJ Watson Res Ctr, Armonk, NY 10504 USA

来源：

IEEE INTERNET COMPUTING | 1998年 / 2卷 / 04期

关键词：

D O I：

10.1109/4236.707692

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

MetaSeek is an image metasearch engine developed to explore me query of large, distributed, online visual information systems. The current implementation integrates user feedback into a performance-ranking mechanism.

引用

页码：59 / 69

页数：11

共 9 条

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Chang, SF
Smith, JR
Beigi, M
Benitez, A
[J]. COMMUNICATIONS OF THE ACM, 1997, 40 (12) : 63 - 71
[3] Experiences with selecting search engines using metasearch
Dreilinger, D
Howe, AE
[J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 1997, 15 (03) : 195 - 222
[4] Duda R. O., 1997, Pattern Classification, V2nd
[5] FLICKNER M, 1995, IEEE COMPUT, V9, P23
[6] SMITH JR, 1996, P ACM C MULT
[7] S EL IM SCI TECHN ST
[8] S EL IM SCI TECHN ST
[9] [No title captured]

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