Semantic based Query Approach For Web Image Search Through reranking algorithm
| Author(s) | : | Pushpak Waghmare, Shubham Katkamwan, Abhijeet Markand, Abuj Pratiksha, Prof. Navale Girish Jaysingh |
| Institution | : | Department Of Computer,All India shri Shivaji Memorial Society’s |
| Published In | : | Vol. 2, Issue 12 — December 2015 |
| Page No. | : | 20-24 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Image search re ranking is an effective technique to filter the text-based image search result. Most existing reranking approaches are based on low level visual features. In this project, we implement to exploit semantic attributesfor image search re ranking. Based on the classifiers for all the pre defined attributes, each image is represented by anattribute feature consisting of the responses from these classifiers. A hypergraph is then used to model the relationshipbetween images by integrating low-level visual features and attribute features. Hypergraph ranking is then performed toorder the images.
Pushpak Waghmare, Shubham Katkamwan, Abhijeet Markand, Abuj Pratiksha, Prof. Navale Girish Jaysingh, “Semantic based Query Approach For Web Image Search Through reranking algorithm”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 12, pp. 20-24, December 2015.
