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Refining Image Search through Visual Similarities
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 121 - Number 22 |
| Year of Publication: 2015 |
| Authors: Dipalee N. Gaikwad, Sandeep U. Kadam |
10.5120/21834-5095
|
Dipalee N. Gaikwad, Sandeep U. Kadam . Refining Image Search through Visual Similarities. International Journal of Computer Applications. 121, 22 ( July 2015), 27-31. DOI=10.5120/21834-5095
Abstract
Retrieving the relevant images with respect to user query from a large image database is aim of the image search. So with respect to user query identifying the accurate image is the most challenging task. One of the important feature of multimedia is image retrieval. Some image search query results are satisfactory and some are unsatisfactory. To search over an image databases initially text based search approach is used where query text is matched with surrounding text of image. If surrounding information of an image is irrelevant then the search becomes inefficient. To improve the results of image search visual similarities are used. The similarity is checked between query image and images in the database. Images having higher similarity are retrieved, which makes search accurate.
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