DocumentCode
698941
Title
An Efficient Indexing Algorithm for CBIR
Author
Rahmani, Md Khalid Imam ; Ansari, M.A. ; Goel, Amit Kumar
Author_Institution
Deptt. of Comput. Sc. & Eng., Mewar Univ., Chittorgarh, India
fYear
2015
fDate
13-14 Feb. 2015
Firstpage
73
Lastpage
77
Abstract
Due to the continuous development of high quality multimedia technologies and rapid growth in the computational power along with availability of huge sized storage devices, digital image archives of very large size are being created day by day on the ever growing WWW through many commercial, research & development and academic web sites. The bulk of digitized images over the Internet are attracting significant research efforts for the development of tools to manage the visual data with their fast and effective retrieval. Towards the beginning of the previous decade, the breakthrough techniques called content based image retrieval has emerged in image retrieval field. This technique uses the contents of the image data for segmenting, indexing, retrieval and searching of relevant images from image repository. This paper mainly concentrates on the indexing phase of the image retrieval system for development of an efficient indexing algorithm of CBIR systems.
Keywords
Internet; Web sites; content-based retrieval; image retrieval; image segmentation; indexing; multimedia systems; CBIR; Internet; WWW; academic Web sites; content based image retrieval; digital image archives; image indexing; image repository; image searching; image segmentation; indexing algorithm; multimedia technologies; storage devices; visual data management; Feature extraction; Image color analysis; Image retrieval; Indexing; Semantics; Vectors; CBIR; Image Indexing; Image Retrieval; Indexing Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location
Ghaziabad
Print_ISBN
978-1-4799-6022-4
Type
conf
DOI
10.1109/CICT.2015.165
Filename
7078670
Link To Document