Image Re-Ranking Modernistic Structure for Web Images
R. Anand. International Journal of Trend in Scientific Research and Development, 2 (1):
535-538(December 2017)
Abstract
Re-ranking of images is an effective way to improve the results of web-based image search and it has been adopted by the current search engines. When a query keyword is given, a list of images is retrieved first on the basis of textual information given by the user. Nowadays, with user's search intention, web search engine gives a set of relevant as well as irrelevant Images and then the user selects query image from the pool. The remaining Images are re-ranked based on their visual similarities. The main drawback with current web search engine is that visual similarities of images do not correlate well with Images semantic meaning. We propose a unique web Image re-ranking framework that provides learned Images visual and semantic meaning based on query keywords. R. Vivekalakshmi | B. Yaalini | S. Karthik Raja | Ms. Sruthi Anand"Image Re-Ranking Modernistic Structure for Web Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7005.pdf http://www.ijtsrd.com/engineering/information-technology/7005/image-re-ranking-modernistic-structure-for-web-images/r-vivekalakshmi
%0 Journal Article
%1 noauthororeditor
%A Anand, R. Vivekalakshmi B. Yaalini S. Karthik Raja Ms. Sruthi
%D 2017
%J International Journal of Trend in Scientific Research and Development
%K Images Information Semantic Technology based-image content expansion image keyword meaning of re-ranking. retrieval
%N 1
%P 535-538
%T Image Re-Ranking Modernistic Structure for Web Images
%U http://www.ijtsrd.com/engineering/information-technology/7005/image-re-ranking-modernistic-structure-for-web-images/r-vivekalakshmic
%V 2
%X Re-ranking of images is an effective way to improve the results of web-based image search and it has been adopted by the current search engines. When a query keyword is given, a list of images is retrieved first on the basis of textual information given by the user. Nowadays, with user's search intention, web search engine gives a set of relevant as well as irrelevant Images and then the user selects query image from the pool. The remaining Images are re-ranked based on their visual similarities. The main drawback with current web search engine is that visual similarities of images do not correlate well with Images semantic meaning. We propose a unique web Image re-ranking framework that provides learned Images visual and semantic meaning based on query keywords. R. Vivekalakshmi | B. Yaalini | S. Karthik Raja | Ms. Sruthi Anand"Image Re-Ranking Modernistic Structure for Web Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7005.pdf http://www.ijtsrd.com/engineering/information-technology/7005/image-re-ranking-modernistic-structure-for-web-images/r-vivekalakshmi
@article{noauthororeditor,
abstract = {Re-ranking of images is an effective way to improve the results of web-based image search and it has been adopted by the current search engines. When a query keyword is given, a list of images is retrieved first on the basis of textual information given by the user. Nowadays, with user's search intention, web search engine gives a set of relevant as well as irrelevant Images and then the user selects query image from the pool. The remaining Images are re-ranked based on their visual similarities. The main drawback with current web search engine is that visual similarities of images do not correlate well with Images semantic meaning. We propose a unique web Image re-ranking framework that provides learned Images visual and semantic meaning based on query keywords. R. Vivekalakshmi | B. Yaalini | S. Karthik Raja | Ms. Sruthi Anand"Image Re-Ranking Modernistic Structure for Web Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7005.pdf http://www.ijtsrd.com/engineering/information-technology/7005/image-re-ranking-modernistic-structure-for-web-images/r-vivekalakshmi
},
added-at = {2018-09-01T08:57:49.000+0200},
author = {Anand, R. Vivekalakshmi B. Yaalini S. Karthik Raja Ms. Sruthi},
biburl = {https://www.bibsonomy.org/bibtex/2dbfb85024e7c64bc66f0d377f50a260d/ijtsrd},
interhash = {cfdfeece1e0a847ece816925e1df392f},
intrahash = {dbfb85024e7c64bc66f0d377f50a260d},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {Images Information Semantic Technology based-image content expansion image keyword meaning of re-ranking. retrieval},
language = {English},
month = dec,
number = 1,
pages = {535-538},
timestamp = {2018-10-02T11:01:27.000+0200},
title = {Image Re-Ranking Modernistic Structure for Web Images
},
url = {http://www.ijtsrd.com/engineering/information-technology/7005/image-re-ranking-modernistic-structure-for-web-images/r-vivekalakshmic},
volume = 2,
year = 2017
}