[Invited Paper] Object Pooling for Multimedia Event Detection and Evidence Localization

Author:

Zhang Hao1,Ngo Chong-Wah1

Affiliation:

1. City University of Hong Kong

Publisher

Institute of Image Information and Television Engineers

Subject

Computer Graphics and Computer-Aided Design,Media Technology,Signal Processing

Reference34 articles.

1. 1) P. Over, G. Awad, M. Michel, J. Fiscus, G. Sanders, W. Krarij, A. Smeaton and G. Queenot: “TRECVID 2014-an overview of the goals, tasks, data, evaluation mechanisms and metrics”, 2014 TREC Video Retrieval (2014)

2. 2) S. Bhattacharya, F.-X. Yu, and S.-F. Chang: “Minimally needed evidence for complex event recognition in unconstrained videos”, ACM International Conference on Multimedia Retrieval (2014)

3. 3) S. Lazebnik, C. Shmid, and J. Ponce: “Byond bags of features: Spatial pyramid matching for recognizing natural scene categories”, IEEE Conference on Computer Vision and Pattern Recognition (2006)

4. 4) W. Li, Q. Yu, A. Divakaran and N. Vasconcelos: “Dynamic pooling for complex event recognition”, IEEE International Conference on Computer Vision, pp. 2728-2735 (2013)

5. 5) Z.-W. Xu, Y. Yang and A. Hauptmann: “A Discriminative CNN Video Representation for Event Detection”, IEEE Conference on Computer Vision and Pattern Recognition (2015)

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1. Token Shift Transformer for Video Classification;Proceedings of the 29th ACM International Conference on Multimedia;2021-10-17

2. Person-level Action Recognition in Complex Events via TSD-TSM Networks;Proceedings of the 28th ACM International Conference on Multimedia;2020-10-12

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