Sciweavers

Share
CIVR
2003
Springer

Majority Based Ranking Approach in Web Image Retrieval

9 years 2 months ago
Majority Based Ranking Approach in Web Image Retrieval
In this paper, we address a ranking problem in web image retrieval. Due to the growing availability of web images, comprehensive retrieval of web images has been expected. Conventional systems for web image retrieval are based on keyword- based retrieval. However, we often find undesirable retrieval results from the keyword based web image retrieval system since the system uses the limited and inaccurate text information of web images ; a typical system uses text information such as surrounding texts and/or image filenames, etc. To alleviate this situation, we propose a new ranking approach which is the integration of results of text and image content via analyzing the retrieved results. We define four ranking methods based on the image contents analysis of the retrieved images; (1) majority-first method, (2) centroid-of-all method, (3) centroid-of-top K method, and (4) centroid-of-largest-cluster method. We evaluate the retrieval performance of our methods and conventional one usi...
Gunhan Park, Yunju Baek, Heung-Kyu Lee
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where CIVR
Authors Gunhan Park, Yunju Baek, Heung-Kyu Lee
Comments (0)
books