Data Storage and Management for Big Multimedia
- ,
- Gylfi Þór Guðmundsson,
- Philippe Bonnet,
- Laurent Amsaleg
- ,
- Reykjavík University,
- Research Institute Computer And Systems Aléatoires
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 211-238 (28 pages)Publication milestones
- Published - 18/03/2019
Publication status
Published - 18/03/2019
Publisher
Wiley-BlackwellISBN (Print)
978-1-119-37700-9Chapter Number
8Publication IDs
- Scopus: 85131501176
Host publication title
Big Data Analytics for Large-Scale Multimedia SearchHost 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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