Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Review on Web-based Image Re-Ranking Techniques


Affiliations
1 Pune Institute of Computer Technology, Pune, Maharashtra, India
     

   Subscribe/Renew Journal


Image re-ranking is a successful method for the web based image search. In the traditional techniques, the images are search based on only the query keyword given by the user and producing estimated output. But image search based on only query keyword is not efficient. Hence in image re-ranking, user intention is captured by clicking on one query image and retrieved the images related to query image. In this paper we have provided overview of traditional techniques such as Text-only related image search, Attribute based image search and image search using Query image. But these techniques face some limitations hence provide our proposed system which is Image search using semantic signature. Also the semantic signatures are short in size and specific to query keyword, hence this image re-ranking technique improves the accuracy and efficiency of image search.

Keywords

Query Keyword, Image Re-Ranking, Attribute, Query Image, Semantic Signature.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 199

PDF Views: 3




  • A Review on Web-based Image Re-Ranking Techniques

Abstract Views: 199  |  PDF Views: 3

Authors

Sujata S. More
Pune Institute of Computer Technology, Pune, Maharashtra, India
Shweta C. Dharmadhikari
Pune Institute of Computer Technology, Pune, Maharashtra, India

Abstract


Image re-ranking is a successful method for the web based image search. In the traditional techniques, the images are search based on only the query keyword given by the user and producing estimated output. But image search based on only query keyword is not efficient. Hence in image re-ranking, user intention is captured by clicking on one query image and retrieved the images related to query image. In this paper we have provided overview of traditional techniques such as Text-only related image search, Attribute based image search and image search using Query image. But these techniques face some limitations hence provide our proposed system which is Image search using semantic signature. Also the semantic signatures are short in size and specific to query keyword, hence this image re-ranking technique improves the accuracy and efficiency of image search.

Keywords


Query Keyword, Image Re-Ranking, Attribute, Query Image, Semantic Signature.