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2006 IEEE International Conference on Multimedia and Expo
TV Viewing Interval Estimation for Personal Preference Acquisition
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Hiroaki Tanimoto, Naoko Nitta, Noboru Babaguchi, "TV Viewing Interval Estimation for Personal Preference Acquisition," Multimedia and Expo, IEEE International Conference on, pp. 889-892, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
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@article{ 10.1109/ICME.2006.262662,
author = {Hiroaki Tanimoto and Naoko Nitta and Noboru Babaguchi},
title = {TV Viewing Interval Estimation for Personal Preference Acquisition},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {889-892},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262662},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - TV Viewing Interval Estimation for Personal Preference Acquisition
SN - 1-4244-0366-7
SP889
EP892
A1 - Hiroaki Tanimoto,
A1 - Naoko Nitta,
A1 - Noboru Babaguchi,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Hiroaki Tanimoto, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan. tanimoto@nanase.comm.eng.osaka-u.ac.jp
Naoko Nitta, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan. nitta@comm.eng.osaka-u.ac.jp
Noboru Babaguchi, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan. babaguchi@comm.eng.osaka-u.ac.jp
The importance of personalized information services has been increasing. Description of personal preferences needs to be prepared beforehand to realize such services. We propose a system for automatically acquiring personal preferences from TV viewer's behaviors. Considering "when" a viewer is watching TV is highly related to the viewer's preferences, we focus on estimating the time interval during which a pre-registered viewer is watching TV. In this paper, we firstly describe the outline of the personal preference acquisition system, and address a method for estimating the TV viewing intervals based on the appearance of frontal faces. Experiments resulted in a precision rate of 97.1% and a recall rate of 70.6% on average for TV viewing interval estimation.
Citation:
Hiroaki Tanimoto, Naoko Nitta, Noboru Babaguchi, "TV Viewing Interval Estimation for Personal Preference Acquisition," icme, pp.889-892, 2006 IEEE International Conference on Multimedia and Expo, 2006
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