[Invited Paper] Strategies for Searching Video Content with Text Queries or Video Examples-Reference-Cited by-同舟云学术

[Invited Paper] Strategies for Searching Video Content with Text Queries or Video Examples

Published:2016 Issue:3 Volume:4 Page:227-238
ISSN:2186-7364
Container-title:ITE Transactions on Media Technology and Applications
language:en
Short-container-title:MTA

Author:

Yu Shoou-I¹,Yang Yi²,Xu Zhongwen²,Xu Shicheng¹,Meng Deyu³,Mao Zexi¹,Ma Zhigang¹,Lin Ming¹,Li Xuanchong¹,Li Huan¹,Lan Zhenzhong¹,Jiang Lu¹,Hauptmann Alexander G.¹,Gan Chuang⁴,Du Xingzhong⁵,Chang Xiaojun²

Affiliation:

1. Language Technologies Institute, Carnegie Mellon University

2. Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney

3. School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xian Jiaotong University

4. Institute for Interdisciplinary Information Sciences, Tsinghua University

5. School of Information Technology and Electrical Engineering, The University of Queensland

Publisher

Institute of Image Information and Television Engineers

Subject

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

Link

https://www.jstage.jst.go.jp/article/mta/4/3/4_227/_pdf

Reference44 articles.

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2. 2) L. Jiang, S.-I. Yu, D. Meng, T. Mitamura, and A. G. Hauptmann, “Bridging the Ultimate Semantic Gap: A Semantic Search Engine for Internet Videos,” in International Conference on Multimedia Retrieval (ICMR) (2015).

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