loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Computer Graphics, Imaging and Visualisation (CGIV 2007)
A 3D-Hash Function for Fast Image Indexing and Retrieval
Bangkok, Thailand
August 14-August 17
ISBN: 0-7695-2928-3
ASCII Text
x 
 
Muhamamd Shahazad Mughal, M. Nawaz, Farhan Ahmad, Saadia Shahzad, A.K. Bhatti, S. Mohsin, "A 3D-Hash Function for Fast Image Indexing and Retrieval," Computer Graphics, Imaging and Visualization, International Conference on, pp. 341-348, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/CGIV.2007.2,
author = {Muhamamd Shahazad Mughal and M. Nawaz and Farhan Ahmad and Saadia Shahzad and A.K. Bhatti and S. Mohsin},
title = {A 3D-Hash Function for Fast Image Indexing and Retrieval},
journal ={Computer Graphics, Imaging and Visualization, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2928-3},
pages = {341-348},
doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.2},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Graphics, Imaging and Visualization, International Conference on
TI - A 3D-Hash Function for Fast Image Indexing and Retrieval
SN - 0-7695-2928-3
SP341
EP348
A1 - Muhamamd Shahazad Mughal,
A1 - M. Nawaz,
A1 - Farhan Ahmad,
A1 - Saadia Shahzad,
A1 - A.K. Bhatti,
A1 - S. Mohsin,
PY - 2007
KW - Image database systems
KW - 2D string
KW - perfect hashing function
KW - 3D hash function
KW - image retrieval
VL - 0
JA - Computer Graphics, Imaging and Visualization, International Conference on
ER -
 
Muhamamd Shahazad Mughal, COMSATS Institute of Information Technology, Pakistan
M. Nawaz, COMSATS Institute of Information Technology, Pakistan
Farhan Ahmad, COMSATS Institute of Information Technology, Pakistan
Saadia Shahzad, COMSATS Institute of Information Technology, Pakistan
A.K. Bhatti, COMSATS Institute of Information Technology, Pakistan
S. Mohsin, COMSATS Institute of Information Technology, Pakistan
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.

Index Terms:
Image database systems, 2D string, perfect hashing function, 3D hash function, image retrieval
Citation:
Muhamamd Shahazad Mughal, M. Nawaz, Farhan Ahmad, Saadia Shahzad, A.K. Bhatti, S. Mohsin, "A 3D-Hash Function for Fast Image Indexing and Retrieval," cgiv, pp.341-348, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.