ML Anthology

Evaluation of Low-Level Features and Their Combinations for Complex Event Detection in Open Source Videos

Amir Tamrakar, Saad Ali, Qian Yu, Jingen Liu, Omar Javed, Ajay Divakaran, Hui Cheng, Harpreet S. Sawhney
CVPR 2012 pp. 3681-3688
doi:10.1109/CVPR.2012.6248114 /cvpr/2012/tamrakar2012cvpr-evaluation/

Abstract

Low-level appearance as well as spatio-temporal features, appropriately quantized and aggregated into Bag-of-Words (BoW) descriptors, have been shown to be effective in many detection and recognition tasks. However, their effcacy for complex event recognition in unconstrained videos have not been systematically evaluated. In this paper, we use the NIST TRECVID Multimedia Event Detection (MED11 [1]) open source dataset, containing annotated data for 15 high-level events, as the standardized test bed for evaluating the low-level features. This dataset contains a large number of user-generated video clips. We consider 7 different low-level features, both static and dynamic, using BoW descriptors within an SVM approach for event detection. We present performance results on the 15 MED11 events for each of the features as well as their combinations using a number of early and late fusion strategies and discuss their strengths and limitations.

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Cite

Text

Tamrakar et al. "Evaluation of Low-Level Features and Their Combinations for Complex Event Detection in Open Source Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6248114

Markdown

[Tamrakar et al. "Evaluation of Low-Level Features and Their Combinations for Complex Event Detection in Open Source Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/tamrakar2012cvpr-evaluation/) doi:10.1109/CVPR.2012.6248114

BibTeX

@inproceedings{tamrakar2012cvpr-evaluation,
  title     = {{Evaluation of Low-Level Features and Their Combinations for Complex Event Detection in Open Source Videos}},
  author    = {Tamrakar, Amir and Ali, Saad and Yu, Qian and Liu, Jingen and Javed, Omar and Divakaran, Ajay and Cheng, Hui and Sawhney, Harpreet S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {3681-3688},
  doi       = {10.1109/CVPR.2012.6248114},
  url       = {https://mlanthology.org/cvpr/2012/tamrakar2012cvpr-evaluation/}
}