posted on 1985-01-01, 00:00authored byAlexander Hauptmann, Michael G Christel, Wei-Hao Lin, Bryan Maher, Jun Yang, Robert V Baron, Guang Xiang
This paper discusses in detail our approaches for producing the
submitted summaries to TRECVID, including the two baseline
methods. The cluster method performed well in terms of
coverage, and adequately in terms of user satisfaction, but did
take longer to review. We conducted additional evaluations using
the same TRECVID assessment interface to judge 2 additional
methods for summary generation: 25x (simple speed-up by 25
times), and pz (emphasizing pans and zooms). Human assessors
show significant differences between the cluster, pz, and 25x
approaches. The best coverage (text inclusion performance) is
obtained by 25x, but at the expense of taking the most time to
evaluate and perceived as the most redundant. Method pz was
easier to use than cluster and had better performance on pan/zoom
recall tasks, leading into discussions on how summaries can be
improved with more knowledge of the anticipated users and tasks.