scholarly journals Extracting color features and dynamic matching for image database retrieval

1999 ◽  
Vol 9 (3) ◽  
pp. 501-512 ◽  
Author(s):  
S.-C. Pei ◽  
Ching-Min Cheng
Keyword(s):  
Image Database ◽  
Dynamic Matching ◽  
Database Retrieval ◽  
Color Features

Image database retrieval utilizing affinity relationships

2003 ◽  
Author(s):  
Mei-Ling Shyu ◽  
Shu-Ching Chen ◽  
Min Chen ◽  
Chengcui Zhang ◽  
Kanoksri Sarinnapakorn
Keyword(s):  
Image Database ◽  
Database Retrieval

Simulation of Fast Retrieval Method for Large-Scale Image Database

2014 ◽  
Vol 556-562 ◽  
pp. 4959-4962
Author(s):  
Sai Qiao
Keyword(s):  
Feature Extraction ◽  
Large Scale ◽  
Great Increase ◽  
Texture Features ◽  
Image Database ◽  
Image Databases ◽  
Matching Method ◽  
Retrieval Method ◽  
Database Retrieval ◽  
Database Constraints

The traditional database information retrieval method is achieved by retrieving simple corresponding association of the attributes, which has the necessary requirement that image only have a single characteristic, with increasing complexity of image, it is difficult to process further feature extraction for the image, resulting in great increase of time consumed by large-scale image database retrieval. A fast retrieval method for large-scale image databases is proposed. Texture features are extracted in the database to support retrieval in database. Constraints matching method is introduced, in large-scale image database, referring to the texture features of image in the database to complete the target retrieval. The experimental results show that the proposed algorithm applied in the large-scale image database retrieval, augments retrieval speed, thereby improves the performance of large-scale image database.

High performance bio-image database retrieval using MPI

2008 ◽  
Vol 4 (1) ◽  
pp. 49
Author(s):  
Yong Li ◽  
Xiujuan Chen ◽  
Saeid Belkasim ◽  
Yi Pan
Keyword(s):  
High Performance ◽  
Image Database ◽  
Database Retrieval
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