DocumentCode
1791720
Title
Scalable solar image Retrieval with Lucene
Author
Banda, Juan M. ; Angryk, Rafal A.
Author_Institution
Montana State Univ., Bozeman, MT, USA
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
11
Lastpage
17
Abstract
In this work we present an alternative approach for large-scale retrieval of solar images using the highly-scalable retrieval engine Lucene. While Lucene is widely popular among text- based search engines, significant adjustments need to be made to take advantage of its fast indexing mechanism and highly-scalable architecture to enable search on image repositories. In this work we describe a novel way of representing image feature vectors in order to enable Lucene to perform search and retrieval of similar images. We compare our proposed method with other popular alternatives and provide commentary of the performance as well as the benefits and caveats of the proposed method.
Keywords
Sun; astronomical image processing; content-based retrieval; image retrieval; search engines; Lucene; content-based image retrieval; image feature vectors; image repositories; search engines; solar image retrieval; Big data; Buildings; Feature extraction; Filtering; Image retrieval; Indexes; Servers; Astroinformatics; Big Data Mining; Content-Based Image Retrieval; Image Processing; Image Retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location
Washington, DC
Type
conf
DOI
10.1109/BigData.2014.7004399
Filename
7004399
Link To Document