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Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs Read chapter Read first chapter

2015 | OriginalPaper | Chapter

3. Multimedia Big Data: Content Analysis and Retrieval

Author : Jer Hayes

Published in: Big-Data Analytics and Cloud Computing

Publisher: Springer International Publishing

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Abstract

This chapter surveys recent developments in the area of multimedia big data, the biggest big data. One core problem is how to best process this multimedia big data in an efficient and scalable way. We outline examples of the use of the MapReduce framework, including Hadoop, which has become the most common approach to a truly scalable and efficient framework for common multimedia processing tasks, e.g., content analysis and retrieval. We also examine recent developments on deep learning which has produced promising results in large-scale multimedia processing and retrieval. Overall the focus has been on empirical studies rather than the theoretical so as to highlight the most practically successful recent developments and highlight the associated caveats or lessons learned.

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previous chapter Role and Importance of Semantic Search in Big Data Governance
next chapter An Overview of Some Theoretical Topological Aspects of Big Data
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Metadata
Title
Multimedia Big Data: Content Analysis and Retrieval
Author
Jer Hayes
Copyright Year
2015
Book
Big-Data Analytics and Cloud Computing

Print ISBN: 978-3-319-25311-4

Electronic ISBN: 978-3-319-25313-8

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-25313-8_3

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