TRECVID: evaluating the effectiveness of information retrieval tasks on digital video

  title={TRECVID: evaluating the effectiveness of information retrieval tasks on digital video},
  author={Alan F. Smeaton and Paul Over and Wessel Kraaij},
  booktitle={ACM Multimedia},
TRECVID is an annual exercise which encourages research in information retrieval from digital video by providing a large video test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. TRECVID benchmarking covers both interactive and manual searching by end users, as well as the benchmarking of some supporting technologies including shot boundary detection, extraction of some semantic features, and the automatic segmentation of TV news… CONTINUE READING
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 71 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.
43 Citations
1 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 43 extracted citations

71 Citations

Citations per Year
Semantic Scholar estimates that this publication has 71 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Similar Papers

Loading similar papers…