Neary: Conversational Field Detection Based on Situated Sound Similarity

Author:

NAKAKURA Toshiya1,SUMI Yasuyuki1,NISHIDA Toyoaki1

Affiliation:

1. Graduate School of Informatics, Kyoto University

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

Reference14 articles.

1. [1] P.M. Aoki, M. Romaine, M.H. Szymanski, J.D. Thornton, D. Wilson, and A. Woodruff, “The Mad Hatter's cocktail party: A social mobile audio space supporting multiple simultaneous conversations,” Proc. CHI 2003, pp.425-432, 2003.

2. [2] R. Borovoy, F. Martin, S. Vemuri, M. Resnick, B. Silverman, and C. Hancock, “Meme tags and community mirrors: Moving from conferences to collaboration,” Proc. CSCW' 98, pp.159-168, 1998.

3. [3] T. Choudhury, Sensing and Modeling Human Networks, Doctoral Thesis, Massachusetts Institute of Technology, Sept. 2003.

4. [4] E.T. Hall, The Hidden Dimension, Doubleday & Company, 1966.

5. [5] J. Hong, G. Borriello, J. Landay, D. McDonald, B. Schilit, and D. Tygar, “Privacy and security in the location-enhanced World Wide Web,” Proc. Ubicomp 2003, Oct. 2003.

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1. Social Activity Measurement by Counting Faces Captured in First-Person View Lifelogging Video;Proceedings of the 10th Augmented Human International Conference 2019;2019-03-11

2. Quick Browsing of Shared Experience Videos Based on Conversational Field Detection;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2018

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