TITLE:
An Alternate Approach for Designing a Domain Specific Image Search Prototype Using Histogram
AUTHORS:
Sukanta Sinha, Rana Dattagupta, Debajyoti Mukhopadhyay
KEYWORDS:
Domain Specific Crawling; Histogram; Gray-Scale Image; Image Search; Ontology; Search Engine
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.3,
March
29,
2013
ABSTRACT: Everyone knows that thousand of words are
represented by a single image. As a result, image search has
become a very popular mechanism for the Web-searchers. Image search means, the
search results are produced by the search engine should be a set of images
along with their Web-page Unified Resource Locator (URL). Now Web-searcher can
perform two types of image search, they are “Text to Image” and “Image to
Image” search. In “Text to Image” search, search query should be a text. Based on the input
text data, system will generate a set of images along with their Web-page URL as
an output. On the other hand, in “Image to Image” search, search query should
be an image and based on this image, system will generate a set of images along with their Web-page URL as
an output. According to the current scenarios, “Text to Image”
search mechanism always not returns perfect result. It matches the text data and then displays the
corresponding images as an output, which is not always perfect. To resolve this
problem, Web researchers have introduced the “Image to Image” search mechanism.
In this paper, we have also proposed an alternate approach of “Image to Image”
search mechanism using Histogram.