Mining high-level user concepts with Multiple instance learning and relevance feedback for content-based image retrieval

Conference proceeding

Peer reviewed

XIN Huang, Shu-Ching Chen, Mei-Ling Shyu and CHENGCUI Zhang

Lecture notes in computer science, Vol.2797, pp.50-67

Mining multimedia and complex data (Edmonton, July 2002 ; Taipei, May 2002)

2003

Abstract

Applied sciences

Computer science; control theory; systems

Data processing. List processing. Character string processing

Exact sciences and technology

General

Information systems. Data bases

Memory organisation. Data processing

Software

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Collaboration types: Domestic collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.17 Computer Vision & Graphics; 4.17.64 Image Retrieval
Web Of Science research areas: Computer Science, Artificial Intelligence; Imaging Science & Photographic Technology
ESI research areas: Engineering

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Source: InCites

Title: Mining high-level user concepts with Multiple instance learning and relevance feedback for content-based image retrieval
Creators: XIN Huang - Florida International University
Shu-Ching Chen - Florida International University
Mei-Ling Shyu - University of Miami
CHENGCUI Zhang - Florida International University
Publication Details: Lecture notes in computer science, Vol.2797, pp.50-67
Conference: Mining multimedia and complex data (Edmonton, July 2002 ; Taipei, May 2002)
Publisher: Springer
Academic Unit: CoE - Electrical & Computer Engineering; College of Engineering
Language: English
Resource Type: Conference proceeding
Record Identifier: 991031725680802976