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Data Storage and Management for Big Multimedia

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 211-238 (28 pages)

Publication milestones

  • Published - 18/03/2019

Publication status

Published - 18/03/2019

Publisher

Wiley-Blackwell
978-1-119-37700-9

Chapter Number

8

Publication IDs

  • Scopus: 85131501176

Host publication title

Big Data Analytics for Large-Scale Multimedia Search

Host publication editors

  • Stefanos Vrochidis
  • Benoit Huet
  • Edward Y. Chang
  • Ioannis Kompatsiaris

Abstract

Recent years have witnessed ever-increasing scale and complexity of multimedia collections. At the same time, a variety of big data management techniques and tools have been developed, primarily intended for business and logging data. An obvious question, which we attempt to answer in this chapter, is then: which of these big data storage and management techniques could apply to "big multimedia" applications? We first outline a generic architecture for large-scale multimedia systems, concluding that the main tasks of a big multimedia repository are: storing, processing, and serving media. We then focus on each of these tasks in turn, and discuss the applicable (big data) techniques and systems for each group. We conclude with a list of potential research directions towards web-scale multimedia applications.

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