---
res:
  bibo_abstract:
  - We propose a video retrieval framework based on a novel combination of spatiograms
    and the Jensen-Shannon divergence, and validate its performance in two quantitative
    experiments on TRECVID BBC Rushes data. In the first experiment, color-based methods
    are tested by grouping redundant shots in an unsupervised clustering. Results
    of the second experiment show that motion-based spatiograms make a promising fast,
    compressed-domain descriptor for the detection of interview scenes.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Adrian
      foaf_name: Ulges, Adrian
      foaf_surname: Ulges
  - foaf_Person:
      foaf_givenName: Christoph
      foaf_name: Christoph Lampert
      foaf_surname: Lampert
      foaf_workInfoHomepage: http://www.librecat.org/personId=40C20FD2-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-8622-7887
  - foaf_Person:
      foaf_givenName: Daniel
      foaf_name: Keysers,Daniel
      foaf_surname: Keysers
  dct_date: 2006^xs_gYear
  dct_publisher: NIST (National Institute of Standards and Technology, US Department
    of Commerce)@
  dct_title: Spatiogram-based shot distances for video retrieval@
...