ML Anthology

Semi-Automatic Categorization of Videos on VideoLectures.net

Miha Grcar, Dunja Mladenic, Peter Kese
ECML-PKDD 2009 pp. 730-733
doi:10.1007/978-3-642-04174-7_51 /ecmlpkdd/2009/grcar2009ecmlpkdd-semiautomatic/

Abstract

Automatic or semi-automatic categorization of items (e.g. documents) into a taxonomy is an important and challenging machine-learning task. In this paper, we present a module for semi-automatic categorization of video-recorded lectures. Properly categorized lectures provide the user with a better browsing experience which makes her more efficient in accessing the desired content. Our categorizer combines information found in texts associated with lectures and information extracted from various links between lectures in a unified machine-learning framework. By taking not only texts but also the links into account, the classification accuracy is increased by 12–20%.

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Cite

Text

Grcar et al. "Semi-Automatic Categorization of Videos on VideoLectures.net." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009. doi:10.1007/978-3-642-04174-7_51

Markdown

[Grcar et al. "Semi-Automatic Categorization of Videos on VideoLectures.net." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009.](https://mlanthology.org/ecmlpkdd/2009/grcar2009ecmlpkdd-semiautomatic/) doi:10.1007/978-3-642-04174-7_51

BibTeX

@inproceedings{grcar2009ecmlpkdd-semiautomatic,
  title     = {{Semi-Automatic Categorization of Videos on VideoLectures.net}},
  author    = {Grcar, Miha and Mladenic, Dunja and Kese, Peter},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2009},
  pages     = {730-733},
  doi       = {10.1007/978-3-642-04174-7_51},
  url       = {https://mlanthology.org/ecmlpkdd/2009/grcar2009ecmlpkdd-semiautomatic/}
}