MapReduce-based face detection in images

Huge amounts of visual data have been generated daily on the Internet. Created data requires not only massive storage but also massive computational power for processing and analyzing data in efficient manner. Therefore, new distributed platforms like Hadoop are becoming more popular because of thei...

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Bibliographic Details
Published inAnnals of DAAAM & proceedings p. 658
Main Authors Pinjuh, Ana, Vickovic, Linda, Cavar, David
Format Journal Article
LanguageEnglish
Published DAAAM International Vienna 2016
Subjects
Analysis
Face recognition technology
Image processing
Methods
Technology application
United States
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Summary:Huge amounts of visual data have been generated daily on the Internet. Created data requires not only massive storage but also massive computational power for processing and analyzing data in efficient manner. Therefore, new distributed platforms like Hadoop are becoming more popular because of their capability to deal with huge amount of complex data in real time. MapReduce, a part of Hadoop, is frequently used programming model for writing distributed applications. This paper describes and presents results of MapReduce-based face detection process using Hadoop platform on BIOID image database. Keywords: image processing; Hadoop; face detection.
ISSN:1726-9679
1726-9679
DOI:10.2507/27th.daaam.proceedings.095