DocumentCode
2574967
Title
Image retrieval using spatial icons
Author
Joo-Hwee Lim ; Jin, J.S.
Author_Institution
Inst. for Infocomm Res., Singapore, Singapore
Volume
3
fYear
2004
fDate
27-30 June 2004
Firstpage
1615
Abstract
We propose an adaptive semantic image indexing framework based on the notion of semantic support regions. Semantic support regions are salient image regions that exhibit semantic meanings and that can be derived statistically to span a new indexing space. We perform the learning and indexing of semantic support regions for 2400 heterogeneous consumer photos using support vector machines. We demonstrate the uniqueness and effectiveness of query by spatial icons, supported by our semantic indexing framework, with 12 queries.
Keywords
content-based retrieval; database indexing; image retrieval; object detection; query formulation; semantic networks; support vector machines; adaptive image indexing framework; content-based image retrieval; image retrieval; indexing space; query by spatial icons; semantic meaning statistic derivation; semantic support regions; support vector machines; view-based object detectors; Australia; Data mining; Image retrieval; Image segmentation; Indexing; Layout; Machine learning; Object detection; Object recognition; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Print_ISBN
0-7803-8603-5
Type
conf
DOI
10.1109/ICME.2004.1394559
Filename
1394559
Link To Document