ATTRIBUTE BASED WEB IMAGE SEARCH RERANKING MODEL

P. Manikanta , A. Divya

Search, hypergraph, attribute-assiisted

Image searching on web is very popular now days for getting intended images. People generally use available and popular search engines like Google search engines, Bing search, and Yahoo search engine. This popular search engines have common method i.e. Text based Retrieval. The noisy or irrelevant images may be present in the retrieved results. Image search re ranking is an effective approach to refine the text-based image search result. Exploit semantic attributes for image search Re ranking. Based on the classifiers for all the predefined attributes, each image is represented by an attribute feature consisting of the responses from these classifiers. A hypergraph is then used to model the relationship between images by integrating low-level visual features and attribute features. Hypergraph ranking is then performed to order the images. . Its basic principle is that visually similar images should have similar ranking scores. This modeling connection among more close samples will be able to Domain the robust semantic similarity and thus accelerate the great ranking performance.

Published Paper   E-Certificate

"ATTRIBUTE BASED WEB IMAGE SEARCH RERANKING MODEL", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.30 - 34, December-2016, Available :https://ijsdr.org/papers/IJSDR1612007.pdf

Volume 1 Issue 12, December-2016

Pages : 30 - 34

Paper Reg. ID: IJSDR_160965

Published Paper Id: IJSDR1612007

Downloads: 000347035

Research Area: Engineering

Country: vijayawada, ANDHRA PRADESH, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612007

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612007

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition