Model
Digital Document
Publisher
Florida Atlantic University
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.
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