Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2017
EDTF Date Created
2017
Description
There is now more data being created than ever before and this data can be any
form of data, textual, multimedia, spatial etc. To process this data, several big data
processing platforms have been developed including Hadoop, based on the MapReduce
model and LexisNexis’ HPCC systems.
In this thesis we evaluate the HPCC Systems framework with a special interest in
multimedia data analysis and propose a framework for multimedia data processing.
It is important to note that multimedia data encompasses a wide variety of data including
but not limited to image data, video data, audio data and even textual data. While
developing a unified framework for such wide variety of data, we have to consider
computational complexity in dealing with the data. Preliminary results show that HPCC
can potentially reduce the computational complexity significantly.
form of data, textual, multimedia, spatial etc. To process this data, several big data
processing platforms have been developed including Hadoop, based on the MapReduce
model and LexisNexis’ HPCC systems.
In this thesis we evaluate the HPCC Systems framework with a special interest in
multimedia data analysis and propose a framework for multimedia data processing.
It is important to note that multimedia data encompasses a wide variety of data including
but not limited to image data, video data, audio data and even textual data. While
developing a unified framework for such wide variety of data, we have to consider
computational complexity in dealing with the data. Preliminary results show that HPCC
can potentially reduce the computational complexity significantly.
Language
Type
Form
Extent
42 p.
Subject (Topical)
Identifier
FA00004875
Additional Information
Includes bibliography.
Thesis (M.S.)--Florida Atlantic University, 2017.
FAU Electronic Theses and Dissertations Collection
Date Backup
2017
Date Created Backup
2017
Date Text
2017
Date Created (EDTF)
2017
Date Issued (EDTF)
2017
Extension
FAU
IID
FA00004875
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Chinta, Vishnu
author
Graduate College
Physical Description
application/pdf
42 p.
Title Plain
Multimedia Big Data Processing Using Hpcc Systems
Use and Reproduction
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2017
2017
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Multimedia Big Data Processing Using Hpcc Systems
Other Title Info
Multimedia Big Data Processing Using Hpcc Systems