DocumentCode :
2452533
Title :
iPURE: perceptual and user-friendly retrieval of images
Author :
Aggarwal, Geeta ; Dubey, Pradeep ; Ghosal, Sugata ; Kulshreshtha, Ashutosh ; Sarkar, Abhinanda
Author_Institution :
IBM India Res. Lab., Indian Inst. of Technol., New Delhi, India
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
693
Abstract :
Content-based image retrieval (CBIR) systems built around mathematical similarity models are often limited in their ability to capture user perception. On the other hand, relevance feedback approaches to CBIR in client-server environments incur a significant overhead in database search and image download time. A novel methodology for understanding user perception through a set of interactive tools is presented in this paper. The system uses a query by example methodology and uses color, texture and shape parameters for perceptual matching. It provides an object-level view of the query image through image segmentation. Traditional relevance feedback techniques on the searched results are supplemented with intra-query learning where the user perception is learnt through feedback on a set of images automatically generated from the query image itself, thus, alleviating the overheads of database search and image download. In addition, we allow the user to explicitly redefine the query point by manually modifying the query image. We demonstrate the feasibility and advantages of the approach with examples
Keywords :
content-based retrieval; image colour analysis; image matching; image segmentation; image texture; relevance feedback; color; content-based image retrieval; iPURE; image segmentation; interactive tools; intra-query learning; mathematical similarity models; object-level view; perceptual image retrieval; perceptual matching; query by example methodology; query image; relevance feedback; shape; texture; user perception; user-friendly image retrieval; Content based retrieval; Feedback; Image databases; Image generation; Image retrieval; Image segmentation; Layout; Mars; Shape; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
Type :
conf
DOI :
10.1109/ICME.2000.871456
Filename :
871456
Link To Document :
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