Ten Research Questions for Scalable Multimedia Analytics

Abstract : The scale and complexity of multimedia collections is ever increasing, as is the desire to harvest useful insight from the collections. To optimally support the complex quest for insight, multimedia ana-lytics has emerged as a new research area that combines concepts and techniques from multimedia analysis and visual analytics into a single framework. State of the art multimedia analytics solutions are highly interactive and give users freedom in how they perform their analytics task, but they do not scale well. State of the art scalable database management solutions, on the other hand, are not yet designed for multimedia analytics workloads. In this position paper we therefore argue the need for research on scalable multimedia analytics, a new research area built on the three pillars of visual analytics, multimedia analysis and database management. We propose a specific goal for scalable multimedia analyt-ics and present several important research questions that we believe must be addressed in order to achieve that goal.
Document type :
Conference papers
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-01214847
Contributor : Laurent Amsaleg <>
Submitted on : Tuesday, October 13, 2015 - 11:00:10 AM
Last modification on : Friday, August 23, 2019 - 3:08:02 PM
Long-term archiving on : Thursday, April 27, 2017 - 12:10:22 AM

File

mmm172.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01214847, version 1

Citation

Björn Þór Jónsson, Marcel Worring, Jan Zahálka, Stevan Rudinac, Laurent Amsaleg. Ten Research Questions for Scalable Multimedia Analytics. The 22nd International Conference On Multimedia Modelling, Special Session Perspectives on Multimedia Analytics, Jan 2016, Miami, United States. ⟨hal-01214847⟩

Share

Metrics

Record views

954

Files downloads

459