Image index model for retrieval using Hausdorff distortion

Author

Janet, B. ; Reddy, A.V.

Author_Institution

Dept. of Comput. Applic., Nat. Inst. of Technol., Trichy, India

fYear

2010

fDate

5-8 Dec. 2010

Firstpage

85

Lastpage

89

Abstract

An image index model has been proposed that uses vector quantization (VQ) to index the images. This index structure uses the Hausdorff distortion (HD) to enable faster retrieval of images from an image database. The authors have compared the HD value with the Modified Hausdorff distance (MHD) and Encoding Distortion Distance (EDD). The results show higher precision for the HD values whereas the MHD values give lesser precision for the same recall. This reduces the processing needed to construct the index.

Keywords

data structures; image coding; image retrieval; indexing; vector quantisation; visual databases; EDD; Hausdorff distortion; MHD; VQ; data structure; encoding distortion distance; image database; image index model; image retrieval; information retrieval; modified Hausdorff distance; vector quantization; Distortion measurement; High definition video; Image coding; Image retrieval; Indexes; Magnetohydrodynamics; Vector quantization; Image Processing; Image Retrieval; Indexing; Information Retrieval; Vector Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-9054-7

Type

conf

DOI

10.1109/ICCAIE.2010.5735052

Filename

5735052