MediaMill: semantic video search using the RotorBrowser

  • Authors:
  • Ork de Rooij;Cees G. M. Snoek;Marcel Worring

  • Affiliations:
  • University of Amsterdam, Amsterdam, The Netherlands;University of Amsterdam, Amsterdam, The Netherlands;University of Amsterdam, Amsterdam, The Netherlands

  • Venue:
  • Proceedings of the 6th ACM international conference on Image and video retrieval
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this technical demonstration we showcase the current version of the MediaMill system[1], a search engine that facilitates access to news video archives at a semantic level. The core of the system is a thesaurus of 500 automatically detected semantic concepts. To handle such a large thesaurus in retrieval, an engine is developed which automatically selects a set of relevant concepts based on a textual query, and an novel user interface which uses multi dimensional browsing to visualize the result set.