Visual analytics for multimedia : challenges and opportunities

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Downloads (Pure)

Abstract

Understanding huge multimedia collections is a huge challenge. Given a set of hundreds of thousands or millions of images, how to to understand its contents and how to find the images that are relevant for the task at hand? Using a combination of automated methods, visualization, and interaction, known as visual analytics, is probably the only way to go, combining the strengths of man and machine. An overview is given of trends in data visualization and visual analytics is given, and examples of recent work in multimedia analytics are presented. Exploiting meta-data, using interaction with relatively simple visual representations, and alignment with the work flow of users are promising routes, but scalability and evaluation are still challenging.
Original languageEnglish
Title of host publicationProceedings of the 2016 ACM on Multimedia Conference
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery, Inc
Pages1116
Number of pages1
ISBN (Print)978-1-4503-3603-1
DOIs
Publication statusPublished - 1 Oct 2016
Event2016 ACM Multimedia Conference (MM'16), October 15-19, 2016, Amsterdam, The Netherlands - Amsterdam, Netherlands
Duration: 15 Oct 201619 Oct 2016
http://www.acmmm.org/2016/

Conference

Conference2016 ACM Multimedia Conference (MM'16), October 15-19, 2016, Amsterdam, The Netherlands
Abbreviated titleMM'16
CountryNetherlands
CityAmsterdam
Period15/10/1619/10/16
Internet address

Keywords

  • Visual analytics; multimedia

Fingerprint

Dive into the research topics of 'Visual analytics for multimedia : challenges and opportunities'. Together they form a unique fingerprint.

Cite this