NDLI: A 3D-Hash Function for Fast Image Indexing and Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Mughal, M.S. Nawaz, M. Ahmad, F. Shahzad, S. Bhatti, A.K. Mohsin, S.
Copyright Year	2007
Description	Author affiliation: COMSATS Inst. of Inf. Technol., Abbottabad (Mughal, M.S.; Nawaz, M.; Ahmad, F.; Shahzad, S.; Bhatti, A.K.; Mohsin, S.)
Abstract	Image retrieval on the basis of similarity is an important task in many image database applications. Majority of the users' requests requires retrieving those images in the database that are spatially similar to the query image. In image databases, images are represented by symbolic images. Spatial relationships in a symbolic image are represented by 2D strings. In Image Database Systems, conventionally 2D strings that are converted into triples represent symbolic pictures or objects. A unique hash address is assigned to each triple, which represents the picture. It serves the purpose of retrieval of images by reducing pattern matching. The calculation of new unique hash keys for all triples is required while inserting new image. In order to overcome these problems we present a solution in this paper that is the concept of a 3D hash function which speeds up the computation of the associated values for the picture objects.
Starting Page	341
Ending Page	348
File Size	248025
Page Count	8
File Format	PDF
ISBN	0769529283
DOI	10.1109/CGIV.2007.2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-14
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image converters Image retrieval perfect hashing function Information retrieval Image database systems Spatial databases Visual databases Information technology 3D hash function Image databases 2D string image retrieval Image storage Pattern matching Indexing
Content Type	Text
Resource Type	Article

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