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.
|Titel||Proceedings of the International Conference on MultiMedia Modeling (MMM) : Special Session on Multimedia Analytics: Perspectives, Techniques and Applications (MAPTA)|
|Status||Udgivet - jan. 2019|
|Navn||Lecture Notes in Computer Science|