Regions-of-interest and spatial layout for content-based image retrieval

Multimedia Tools and Applications

Volumn 14, Issue 2, 2001, Pages 201-210

  Moghaddam, Baback ^a   Biermann, Henning ^b   Margaritis, Dimitris ^c  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^b NEW YORK UNIVERSITY   (United States)

^c Carnegie Mellon University   (United States)

Author keywords

Branch and bound search; Histogram metrics; Region based image retrieval; Similarity bounds; Spatial layout

Indexed keywords

CONSTRAINT THEORY; DATABASE SYSTEMS; IMAGE SEGMENTATION; SEARCH ENGINES;

TEXTURE HISTOGRAMS;

CONTENT BASED RETRIEVAL;

EID: 0035366847     PISSN: 13807501     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011355417880     Document Type: Article

References (14)

1. Region-based image querying
2. Iconic indexing using 2-D strings
3. Percentile blobs for image similarity
4. Image indexing using color correlograms
5. Configuration based scene classification and image indexing
6. Region queries without segmentation for image retrieval by content
7. Object recognition using multidimensional receptive field histograms
8. Imagerover: A content-based image browser for the world wide web
9. Color indexing