Affiliations: Soft Computing Laboratory, Department of Computer
Science, Yonsei University, Seoul, Korea
Note: [] Corresponding author: Sung-Bae Cho, Soft Computing Laboratory,
Department of Computer Science, Yonsei University, 134 Shinchon-Dong,
Seodaemoon-Gu, Seoul 120-749, Korea. Tel.: +82 2 2123 2720; Fax: +82 2 365
2579; E-mail: sbcho@cs.yonsei.ac.kr
Abstract: Advances in digital media technology have increased in multimedia
content. Tagging is one of the most effective methods to manage a great volume
of multimedia content. However, manual tagging has limitations such as human
fatigue and subjective and ambiguous keywords. In this paper, we present an
automatic tagging method to generate semantic annotation on a mobile phone. In
order to overcome the constraints of the mobile environment, the method uses
two layered Bayesian networks. In contrast to existing techniques, this
approach attempts to design probabilistic models with fixed tree structures and
intermediate nodes. To evaluate the performance of this method, an experiment
is conducted with data collected over a month. The result shows the efficiency
and effectiveness of our proposed method. Furthermore, a simple graphic user
interface is developed to visualize and evaluate recognized activities and
probabilities.
