Relevance Feedback Approaches for MPEG-7 Content-based Biomedical Image Retrieval

被引：0

作者：

Mironica, Ionut ^{[1
]}

Vertan, Constantin ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Dept Appl Elect & Informat Engn, LAPI, Bucharest, Romania

来源：

PROCEEDINGS OF THE 2010 8TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM) | 2010年

关键词：

content-based image retrieval; relevance feedback; MPEG-7; biomedical image analysis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes the implementation of a content-based image retrieval system that uses MPEG-7 color image descriptors, integrated into a medical record database. The system functionality is proven in the framework of an oncology application. Several classical relevance feedback methods are evaluated in conjunction with the image content descriptors in terms of overall retrieval rate improvement.

引用

页码：185 / 188

页数：4

共 11 条

[1] Bridging the semantic gap with computational media aesthetics [J].

Dorai, C ;

Venkatesh, S .

IEEE MULTIMEDIA, 2003, 10 (02) :15-17

[2]

*ISO IEC, 2002, 159381 ISO IEC

[3]

Manjunath B. S., 2001, TECHNOLOGY, V11, P703

[4] MPEG-7 -: Overview of MPEG-7 description tools, part 2 [J].

Martínez, JM .

IEEE MULTIMEDIA, 2002, 9 (03) :83-93

[5]

Robertson S., 1995, NIST SPECIAL PUBLICA, V500-225, P109

[6]

Rocchio J., 1971, The SMART retrieval system: experiments in automatic document processing, P313

[7]

Santini Simone., 2001, Exploratory Image Databases

[8] The MPEG-7 visual standard for content description - An overview [J].

Sikora, T .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2001, 11 (06) :696-702

[9] Content-based image retrieval at the end of the early years [J].

Smeulders, AWM ;

Worring, M ;

Santini, S ;

Gupta, A ;

Jain, R .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (12) :1349-1380

[10]

Vinay V, 2005, LECT NOTES COMPUT SC, V3408, P185

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