Kernel vector approximation files for relevance feedback retrieval in large image databases

Multimedia Tools and Applications

Volumn 26, Issue 2, 2005, Pages 175-189

  Heisterkamp, Douglas R ^a   Peng, Jing ^b  

^a Department of Computer Science   (United States)

^b TULANE UNIVERSITY   (United States)

Author keywords

Content based image retrieval; Indexing; Kernel methods; Relevance feedback; VA File

Indexed keywords

APPROXIMATION THEORY; DATA REDUCTION; DATABASE SYSTEMS; IMAGE ANALYSIS; INDEXING (OF INFORMATION); POLYNOMIALS; VECTORS;

CONTENT-BASED IMAGE RETRIEVAL; KERNEL METHODS; RELEVANCE FEEDBACK; VA-FILE;

CONTENT BASED RETRIEVAL;

EID: 21244480926     PISSN: 13807501     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11042-005-0454-4     Document Type: Conference Paper

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