Title :
A Content-Based Image Retrieval System Based on Hadoop and Lucene
Author :
Chunhao Gu ; Yang Gao
Author_Institution :
Suzhou Branch Office, Oracle (China) Software Syst. Co., Ltd., Suzhou, China
Abstract :
This paper introduces a content-based image retrieval (CBIR) system based on Hadoop and Lucene. Hadoop is a kind of open source software with powerful parallelization and scalability and gradually becomes a popular technique for processing and storage of big data in recent years. We design and implement the system to overcome performance bottlenecks brought by computing complexity and big amount of data when constructing a CBIR system. We will present our ideas, designs and fruits of the system in this paper.
Keywords :
computational complexity; content-based retrieval; image retrieval; storage management; CBIR system; Hadoop; Lucene; big data storage; computing complexity; content-based image retrieval system; open source software; powerful parallelization; Computer architecture; Feature extraction; Image color analysis; Image retrieval; Indexing; CBIR; HBase; Hadoop; Lucene;
Conference_Titel :
Cloud and Green Computing (CGC), 2012 Second International Conference on
Conference_Location :
Xiangtan
Print_ISBN :
978-1-4673-3027-5
DOI :
10.1109/CGC.2012.33
