Retrieval and Re-Ranking of Images with Better Optimization Using Hyper Graph

Authors(2) :-Neha Sunil Jankar, Dr. D. S. Bhosle

The process of image search includes searching of images based on user given keywords. Most of the image retrieval techniques are based on text based image retrievals. But it has certain problems like images are time duplicated, low precision, and irrelevant. This paper represents the multiple scenario may occur due to sparse and noisy textual query. Because of this user cannot be always sure of perfect images being obtained in available time. To moderate image search user clicks are introduced into the search query so that the relevance between given query and result obtained should be maximized. User clicks are integrated to textual features to make refinement of textual query. The major bottleneck is likely mismatch between the image content and the given text. Image search re-ranking attempts to resolve this bottleneck by relying on both the text information and visual information during the image search process. This paper represents the trends in image search reranking and optimization with hyper graph.

Authors and Affiliations

Neha Sunil Jankar
ME (CSE) Student, Ashokrao Mane Group of Institutons, Vathar, Kolhapur, Maharashtra, India
Dr. D. S. Bhosle
Head of P.G studies (CSE), Ashokrao Mane Group of Institutons, Vathar, Kolhapur, Maharashtra, India

Hyper Graph, VCLTR, Natural Language Processing, Data Mining, Information Retrieval, Discounted Cumulative Gain, Fast Alternating Linearization Method

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 76-79
Manuscript Number : IJSRSET1623207
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Neha Sunil Jankar, Dr. D. S. Bhosle, " Retrieval and Re-Ranking of Images with Better Optimization Using Hyper Graph, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.76-79, July-August.2016
URL : http://ijsrset.com/IJSRSET1623207

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