DocumentCode
147183
Title
Evaluation of compact composite descriptor based reverse image search
Author
Chutel, Pushpa M. ; Sakhare, Apeksha
fYear
2014
fDate
3-5 April 2014
Firstpage
1430
Lastpage
1434
Abstract
With the massive growth of World Wide Web people are able to gain the access to massive amount of information. This information may contain data, images, flow charts, logos, maps etc. However locating and finding the relevant information is always a difficult task. A lot of textual-based search engines are available, but there are very rare image search engines through which desired images can be searched from the pool of images available on the web. Hence there is a need of such a image search engine using which the related and exact images can be searched. Reverse image search is such a content-based image retrieval query technique that involves providing the CBIR system with a sample image that it will then base its search upon. Reverse image search can be used to search either data related to the query image or the images related to that image or exact images.
Keywords
content-based retrieval; edge detection; image retrieval; search engines; CBIR system; World Wide Web; compact composite descriptor-based reverse image search evaluation; content-based image retrieval query technique; image search engines; information access; information location; information search; query image; sample image; Computational modeling; Computer architecture; Engines; Image color analysis; Indexing; CCV; Compact Composite Descriptor; Image Feature Inverted Index; Reverse Image Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location
Melmaruvathur
Print_ISBN
978-1-4799-3357-0
Type
conf
DOI
10.1109/ICCSP.2014.6950085
Filename
6950085
Link To Document