Index model for image retrieval using SIFT distortion. (1st January 2012)

• Record Type: Journal Article
• Authors: Janet, B.; Reddy, A.V.
• Is Part Of: International journal of intelligent information and database systems. Volume 6:Number 3(2012)
• Page Start: 289
• Page End: 306
• Publication Date: 2012-01-01
• Subjects: image index -- image retrieval -- information retrieval -- indexing -- vector quantisation -- VQ -- scale invariant feature transform -- SIFT; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

An image index model had been proposed that uses the distortion produced by using vector quantisation (VQ) on block vectors of the image to index the image database. In this paper, the novel SIFT distortion (SD) is used as a similarity measure to enable faster retrieval of images from the index model. Each image is represented as a single distortion value. The SD value is compared with various other similarity measures. The results show higher precision for the SD values for the same recall. SD is scale invariant and hence has higher mean average precision for the retrieval of similar images.