%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 }