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Kernel indexing for relevance feedback image retrieval
Jing Peng
, Douglas R. Heisterkamp
Computer Science
Research output
:
Contribution to conference
›
Paper
›
peer-review
12
Scopus citations
Overview
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Dive into the research topics of 'Kernel indexing for relevance feedback image retrieval'. Together they form a unique fingerprint.
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Keyphrases
Image Retrieval
100%
Feature Space
100%
Relevance Feedback
100%
Input Space
66%
Large Image Database
66%
Index Structure
66%
Image Database
33%
Image Data
33%
Kernel Metric
33%
Large Set
33%
Highly Nonlinear
33%
Nearest Neighbor
33%
Nonlinear Dynamics
33%
Linear Invariants
33%
Metric Indexing
33%
Content-based Retrieval
33%
Video Database
33%
Computer Science
Feature Space
100%
Image Retrieval
100%
Relevance Feedback
100%
Image Database
66%
Index Structure
66%
Experimental Result
33%
Content Based Retrieval
33%
Video Database
33%
Information Retrieval
33%