Integration of Exploration and Search: A Case Study of the M3 Model
- Snorri Gíslason,
- ,
- Laurent Amsaleg
- ,
- Research Institute Computer And Systems Aléatoires
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
Special Session on Multimedia Analytics: Perspectives, Techniques and Applications (MAPTA)Original language
EnglishPages from-to (Number of pages)
Pages 156-168 (13 pages)Publication milestones
- Published - 01/2019
Publication status
Published - 01/2019
Place of publication
Thessaloniki, GreecePublisher
Springer, United States, GermanyBook series
- Book series name: Lecture Notes in Computer Science
Volume: 11295
ISSN: 0302-9743
ISBN (Print)
978-3-030-05709-1Publication 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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Submitted manuscript, 529.46 KB
