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Integration of Exploration and Search: A Case Study of the M3 Model

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

Open access

Publication Information

Output type

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

Host publication Subtitle

Special Session on Multimedia Analytics: Perspectives, Techniques and Applications (MAPTA)

Original language

English

Pages from-to (Number of pages)

Pages 156-168 (13 pages)

Publication milestones

  • Published - 01/2019

Publication status

Published - 01/2019

Place of publication

Thessaloniki, Greece

Publisher

Springer, United States, Germany

Book series

  • Book series name: Lecture Notes in Computer Science
    Volume: 11295
    ISSN: 0302-9743
978-3-030-05709-1

Publication IDs

  • Scopus: 85059849577

Host publication title

Proceedings of the International Conference on MultiMedia Modeling (MMM)

Abstract

Effective support for multimedia analytics applications requires exploration and search to be integrated seamlessly into a single interaction model. Media metadata can be seen as defining a multidimensional media space, casting multimedia analytics tasks as exploration, manipulation and augmentation of that space. We present an initial case study of integrating exploration and search within this multidimensional media space. We extend the M3 model, initially proposed as a pure exploration tool, and show that it can be elegantly extended to allow searching within an exploration context and exploring within a search context. We then evaluate the suitability of relational database management systems, as representatives of today's data management technologies, for implementing the extended M3 model. Based on our results, we finally propose some research directions for scalability of multimedia analytics.

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