Title :
Image retrieval using spatial icons
Author :
Joo-Hwee Lim ; Jin, J.S.
Author_Institution :
Inst. for Infocomm Res., Singapore, Singapore
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;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394559
