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Mechanism for ImageSearch with Prediction Of Users Intention with Relevant Feedback

Author(s):

Miss.Vrushali Ingle , Marathwada Institute of Technology, college of engineering, Aurangabad.; Prof.Swati Jaipurkar, Marathwada Institute of Technology, college of engineering, Aurangabad.

Keywords:

Re-Ranking, Categorization, Visual Feature

Abstract

this paper is recognizes and predicts user’s intention, which is done by selecting one of the most relevant search results from the internet image search. Web scale image search engine mostly depends on text features, i.e. like Google, Yahoo, Bing uses query as a text to search an image. It means that it retrieve the result based on keyword search methodology. But one drawback is that it leads to noisy and ambiguous result which is not relevant as per the user’s interest. So that it may become difficult to interpret user’s intention. To overcome this drawback we have introduced a system which may help to interpret user’s interest and find relevant search result based on a query. This paper is organized in such a way that it focuses on textual as well as visual features of the query and based on that only relevant data is retrieved with the other suggestions as per the user’s interest. For this purpose following steps should be followed 1) enter keyword as a query to search images. (as like Google or Bing search engine). 2) select most relevant search image as per our interest. By doing this it retrieves the relevant data as per the user’s interest and also shows other suggestions based on the search result. The result comes out automatically without extra effort from the users side. This is one of the significant approaches to search an image and predict the user’s interest.

Other Details

Paper ID: IJSRDV4I50478
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 730-732

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