Title :
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
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;
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-9054-7
DOI :
10.1109/ICCAIE.2010.5735052
