Recommendations for video event recognition using concept vocabularies

  title={Recommendations for video event recognition using concept vocabularies},
  author={AmirHossein Habibian and Koen E. A. van de Sande and Cees Snoek},
Representing videos using vocabularies composed of concept detectors appears promising for event recognition. While many have recently shown the benefits of concept vocabularies for recognition, the important question what concepts to include in the vocabulary is ignored. In this paper, we study how to create an effective vocabulary for arbitrary-event recognition in web video. We consider four research questions related to the number, the type, the specificity and the quality of the detectors… CONTINUE READING
Highly Cited
This paper has 73 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 47 extracted citations

Semantic Reasoning in Zero Example Video Event Retrieval

TOMCCAP • 2017
View 5 Excerpts
Highly Influenced

Enhancing Video Event Recognition Using Automatically Constructed Semantic-Visual Knowledge Base

IEEE Transactions on Multimedia • 2015
View 8 Excerpts
Highly Influenced

Fusion in Computer Vision

Advances in Computer Vision and Pattern Recognition • 2014
View 5 Excerpts
Highly Influenced

Joint Attributes and Event Analysis for Multimedia Event Detection

IEEE Transactions on Neural Networks and Learning Systems • 2018
View 1 Excerpt

73 Citations

Citations per Year
Semantic Scholar estimates that this publication has 73 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-5 of 5 references

Evaluation campaigns and TRECVid

Multimedia Information Retrieval • 2006
View 9 Excerpts
Highly Influenced

Understanding Events. Oxford Series in Visual Cognition

J. M. Shipley, T. F. Zack, editors
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…