Volume & Issue no: Volume 4, Issue 6, November - December 2015
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Title: |
Visual semantic web based image Re-ranking for effective search engine |
Author Name: |
Mr.Sandesh Keshav Pawaskar |
Abstract: |
Abstract
Visual semantic web based Image search engine is a way
using that multiple images are search and matched in
semantic space. This matched images we use for image reranking
methodology. Image re-ranking is a method using
that we improve results of web based images search. When
user search any query keyword on web based search engine,
then a set of images are extracted based on the textual
information. User then select a required query image from the
set of images and then the others images are recomputed or
re-ranked based on visual occurrence of the query image.
These similarities of visual features do not well match with
visual semantic meanings of images which normally
coordinate users search intention and it is a main problem
visual semantic web image search engine. So In this paper, we
developed visual semantic web image re-ranking structure,
which automatically and directly offline studied different
visual semantic spaces meaning for different search query
keywords. Then these visual features of images are extended
to their visual semantic spaces to formed visual semantic
signatures. At the online step these images are ranked by
comparison with their visual semantic signatures which
obtained from the semantic space that specified by the search
query keyword. Our proposed visual semantic web based
image re-ranking structure significantly improve both the
efficiency and accuracy of image re-ranking.
Keywords: image re-ranking, visual semantic space,
visual semantic signature, keyword expansion. |
Cite this article: |
Mr.Sandesh Keshav Pawaskar , "
Visual semantic web based image Re-ranking for effective search engine" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 6, November - December 2015 , pp.
194-196 , ISSN 2278-6856.
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