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Author Ravela, S. ♦ Manmatha, R.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Match Score ♦ Low Order ♦ Appropriate Region ♦ Visual Que ♦ Gaussian Derivative Filter ♦ Rapid Retrieval ♦ Image Intensity Surface ♦ Multi-scale Representation ♦ Invariant Vector ♦ Image Retrieval System ♦ Several Scale ♦ Differential Invariant ♦ Small View Variation ♦ Coordinate Space ♦ Average Precision ♦ Arbitrary Background ♦ Example Image
Description A system to retrieve images using a description of the image intensity surface is presented. Gaussian derivative filters at several scales are applied to the image and low order 2D differential invariants are computed. The resulting multi-scale representation is indexed for rapid retrieval. Queries are designed by the users from an example image by selecting appropriate regions. The invariant vectors corresponding to these regions are matched with the database counterparts both in feature and coordinate space. This yields a match score per image. Images are sorted by the match score and displayed. Experiments conducted with over 1500 images of objects embedded in arbitrary backgrounds are described. It is observed that images similar in appearance and whose viewpoint is within small view variations of the query can be retrieved with an average precision 1 of 56%. 1 Introduction The goal of image retrieval systems is to operate on collections of images and, in response to visual que...
in Proceedings of the International Conference on Computer Vision
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1998-01-01