Comparison of Various Web Image Re - Ranking Techniques |
Author(s): |
| Pooja P. Dutta , Narnarayan Shastri Institute of Technology; Anand Chauhan, Narnarayan Shastri Institute of Technology |
Keywords: |
| Web Image, Web Image Re – Ranking, Image Query, Content Based Retrieval, Semantic Signatures, Visual Similarities, Keywords Expansion |
Abstract |
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Image re-ranking, is an quite an efficient way to improve the results that are fetched from the web-based image search query. Given a query keyword for the image, a pool of images are first retrieved based on textual information, then the images are re-ranked based on their visual similarities with the query image according to the user input. But when, the images’ visual features do not match with the semantic meanings of the users’ entered query or keyword, it becomes a major challenge to make available the actual searched image. Hence, in this paper, the various Web image Re- ranking techniques are studied, on how it approaches towards the Web Image search that the user has input in query. |
Other Details |
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Paper ID: IJSRDV3I100448 Published in: Volume : 3, Issue : 10 Publication Date: 01/01/2016 Page(s): 561-565 |
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