NDLI: Image retrieval with sketches and compositions

Content Provider	IEEE Xplore Digital Library
Author	Kumar Rajendran, R. Shih-Fu Chang
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. Eng., Columbia Univ., New York, NY, USA (Kumar Rajendran, R.)
Abstract	We present an image search technique that is based on characterizing the strongest edges of an image. It allows queries in the form of rough line-sketches that outline the basic form and composition of an image. This permits the user to quickly and easily transform a mental picture of an image into a query. Characterizing images with signatures that represents their strongest edges, and comparing these to a dynamically generated signature of the user's sketch achieves this search. The edge signature is generated over multiple scales to account for the variation in detail of the user's line-sketch. Edge-coherence, a measure of the perceptual strength of an edge, based on its continuity, is used in generating the signature. Our search technique is fast enough to allow the system to respond with results at the completion of each stroke of a query sketch. The algorithm is robust and invariant to scale, rotation and translation. We also show how this edge-based search can be merged seamlessly with the more traditional color-region and shape-based searches to produce a search interface that is expressive, intuitive, simple, and works in the absence of sample images.
Starting Page	717
Ending Page	720
File Size	673437
Page Count	4
File Format	PDF
ISBN	0780365364
DOI	10.1109/ICME.2000.871462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Image databases Spatial databases Search engines Shape measurement Character generation Robustness Internet
Content Type	Text
Resource Type	Article

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