Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones

Young Seol Lee, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As digital media technologies have improved, a large amount of media content has been produced. Tagging is an effective way 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 effectiveness of our proposed method. Furthermore, a simple graphic user interface is developed to visualize and evaluate recognized activities and probabilities.

Original languageEnglish
Title of host publication10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012 - Proceedings
Pages39-46
Number of pages8
DOIs
Publication statusPublished - 2012 Dec 1
Event10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012 - Bali, Indonesia
Duration: 2012 Dec 32012 Dec 5

Publication series

NameACM International Conference Proceeding Series

Other

Other10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012
CountryIndonesia
CityBali
Period12/12/312/12/5

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones'. Together they form a unique fingerprint.

  • Cite this

    Lee, Y. S., & Cho, S. B. (2012). Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones. In 10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012 - Proceedings (pp. 39-46). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2428955.2428971