Title :
An Image Retrieval System Based on Parallel Architecture
Author_Institution :
Jilin Inst. of Chem. Technol., Jilin, China
Abstract :
How to quickly find image that user needed. It is important to build an index to image database. It is possible to retrieve images from database using a unique identification defined by a human operator as an index to images, but it is more reasonable to index images based on their contents. The principle of Content-Based Image Retrieval system is to retrieve images based on the content of the images. One of the important components in the system is to extract the visual features of the images for performing more abstract analysis. However, some of these features are computationally expensive. To solve this issue, a flexible Distributed parallel architecture has been proposed to improve the extraction time for the system. This architecture will also provide the software system with the flexibility of adding and removing any visual features from the system.
Keywords :
content-based retrieval; image retrieval; parallel architectures; abstract analysis; content-based image retrieval system; flexible distributed parallel architecture; human operator; identification; image database; Content based retrieval; Feature extraction; Humans; Image analysis; Image databases; Image retrieval; Indexes; Information retrieval; Parallel architectures; Performance analysis; Feature Extraction; Image Retrieval; Parallel Architecture;
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4244-5397-9
Electronic_ISBN :
978-1-4244-5398-6
DOI :
10.1109/WKDD.2010.12