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A study of children facial recognition for privacy in smart TV
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Patrick C.K. Hung, Faculty of Business and Information Technology
  • Kamen Kanev, Faculty of Business and Information Technology
  • Farkhund Iqbal, Zayed University
  • David Mettrick, Faculty of Business and Information Technology
  • Laura Rafferty, Faculty of Business and Information Technology
  • Guan Pu Pan, National Taipei University of Technology
  • Shih Chia Huang, Faculty of Business and Information Technology
  • Benjamin C.M. Fung, McGill University
Document Type
Conference Proceeding
Publication Date
1-1-2017
Abstract

© Springer International Publishing AG 2017. Nowadays Smart TV is becoming very popular in many families. Smart TV provides computing and connectivity capabilities with access to online services, such as video on demand, online games, and even sports and healthcare activities. For example, Google Smart TV, which is based on Google Android, integrates into the users’ daily physical activities through its ability to extract and access context information dependent on the surrounding environment and to react accordingly via built-in camera and sensors. Without a viable privacy protection system in place, however, the expanding use of Smart TV can lead to privacy violations through tracking and user profiling by broadcasters and others. This becomes of particular concern when underage users such as children who may not fully understand the concept of privacy are involved in using the Smart TV services. In this study, we consider digital imaging and ways to identify and properly tag pictures of children in order to prevent unwanted disclosure of personal information. We have conducted a preliminary experiment on the effectiveness of facial recognition technology in Smart TV where experimental recognition of child face presence in feedback image streams is conducted through the Microsoft’s Face Application Programming Interface.

ISBN
9783319546087
Publisher
Springer Verlag
Keywords
  • Digital imaging,
  • Face recognition,
  • Picture-based age estimation,
  • Privacy,
  • Smart TV
Scopus ID
85015867458
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-319-54609-4_17
Citation Information
Patrick C.K. Hung, Kamen Kanev, Farkhund Iqbal, David Mettrick, et al.. "A study of children facial recognition for privacy in smart TV" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10149 LNCS (2017) p. 229 - 240 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/farkhund-iqbal/114/