Content-Based Element Search for Presentation Slide Reuse
Author:
Affiliation:
1. Department of Systems and Social Informatics, Graduate School of Information Science, Nagoya University
2. Nagoya Industrial Science Research Institute
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E97.D/10/E97.D_2014EDP7023/_pdf
Reference22 articles.
1. [1] M. Sharmin, L. Bergman, J. Lu, and R.B. Konuru, “On slide-based contextual cues for presentation reuse,” International Conference on Intelligent User Interfaces, pp.129-138, 2012.
2. [2] Y. Mejova, K.D. Schepper, L. Bergman, and J. Lu, “Reuse in the wild: An empirical and ethnographic study of organizational content reuse,” ACM CHI Conference on Human Factors in Computing Systems, pp.2877-2886, 2011.
3. [3] S.M. Drucker, G. Petschnigg, and M. Agrawala, “Comparing and managing multiple versions of slide presentations,” ACM Symposium on User Interface Software and Technology, pp.47-56, 2006.
4. [4] C.D. Manning, P. Raghavan, and H. Schütze, Introduction to information retrieval, Cambridge University Press, 2008.
5. [5] J. Sivic and A. Zisserman, “Video google: A text retrieval approach to object matching in videos,” IEEE International Conference on Computer Vision, pp.1470-1477, 2003.
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