Evaluating Multimedia Features and Fusion for Example-Based Event Detection

Author:

Myers Gregory K.,Snoek Cees G. M.,Nevatia Ramakant,Nallapati Ramesh,van Hout Julien,Pancoast Stephanie,Sun Chen,Habibian Amirhossein,Koelma Dennis C.,van de Sande Koen E. A.,Smeulders Arnold W. M.

Publisher

Springer International Publishing

Reference49 articles.

1. Smeaton AF, Over P, Kraaij W (2006) Evaluation campaigns and TRECVID. In: Proceedings of the 8th ACM international workshop on multimedia information retrieval (MIR ’06), Santa Barbara, 26–27 October 2006, ACM Press, New York, pp 321–330

2. Jiang Y-G, Bhattacharya S, Chang S-F, Shah M (2012) High-level event recognition in unconstrained videos. Int J Multimedia Inf Retrieval 2:1–29

3. Natarajan P, Wu S, Vitaladevuni S, Zhuang X, Tsakalidis S, Paurk U, Prasad R (2012) Multimodal feature fusion for robust event detection in web videos. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), pp 1298–1305

4. Sawhney H, Cheng H, Divakaran A, Javed O, Liu J, Yu Q, Ali S, Tamrakar A (2012) Evaluation of low-level features and their combinations for complex event detection in open source videos. In: CVPR, pp 2496–2499

5. Jiang Y (2013) Super: towards real-time event recognition in internet videos. In: ACM international conference on multimedia retrieval (ICMR), Article No. 33

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Driver Action Recognition in Low-Light Conditions: A Multi-View Fusion Framework;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

2. Accurate Kidney Pathological Image Classification Method Based on Deep Learning and Multi-Modal Fusion Method with Application to Membranous Nephropathy;Life;2023-01-31

3. Web video classification with visual and contextual semantics;International Journal of Communication Systems;2019-06-23

4. Improved bag-of-words model for person re-identification;Tsinghua Science and Technology;2018-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3