A parallel processing framework using MapReduce for content-based image retrieval

Author

Tungkasthan, Anucha ; Premchaiswadi, Wichian

Author_Institution

Grad. Sch. of Inf. Technol., Siam Univ., Bangkok, Thailand

fYear

2013

fDate

20-22 Nov. 2013

Firstpage

1

Lastpage

6

Abstract

In this paper, a Hadoop MapReduce framework is presented in order to perform distributed processing used for CBIR system. Moreover, Hadoop MapReduce framework is used with the intention of increasing the performance of two main functionalities of data insertion and query processing. Therefore, the main objective of the study is distribution of the image data over a large number of nodes. Some of the techniques used in the paper includes: image indexing and retrieval, parallel processing of indexing, and comparing the similarity of retrieved images.

Keywords

content-based retrieval; image retrieval; indexing; parallel processing; CBIR system; Hadoop MapReduce framework; content-based image retrieval; data insertion; distributed processing; image indexing; parallel processing framework; query processing; similarity comparision; Distributed processing; Feature extraction; Image color analysis; Image retrieval; Parallel processing; Vectors; CBIR Systems; Distribuited Processing; Image Processing; Image Retrieval; MapReduce;

fLanguage

English

Publisher

ieee

Conference_Titel

ICT and Knowledge Engineering (ICT&KE), 2013 11th International Conference on

Conference_Location

Bangkok

ISSN

2157-0981

Print_ISBN

978-1-4799-2294-9

Type

conf

DOI

10.1109/ICTKE.2013.6756291

Filename

6756291