Earticle

초록

영어

Smart phones, as one of the most important platforms for personal communications and mobile computing, have evolved with various embedded devices, such as cameras, Wi-Fi transceivers, Bluetooth transceivers and sensors. Specifically, the photos taken by a smart phone has the approximate or even equivalent image quality to that of a professional camera. As a result, smart phones have become the first choice for people to take photos to record their ordinary life. However, how to manage thousands of photos on a smart phone becomes a challenge. In this paper, we propose a new architecture in terms of Smart Photo-Tagging Framework (SPTF) to manage the substantial number of photos taken by smart phones. In particular, our SPTF collects the ambient data obtained from various embedded sensors on a smart phone when a photo is taken. After processing and analyzing the ambient data, SPTF can accurately record both the ambient tags and the face tags of the photo, which will be used for auto-tagging photos and searching photos. We also implement SPTF and verify its effectiveness by conducting a number of realistic experiments.

목차

Abstract
 1. Introduction
 2. Related Works
 3. System Architecture
 4. Implementation of SPTF: FriendTag - a System Prototype
  4.1. A Scenario of FriendTag
  4.2. System Implementation and Testing Cases
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Hao Xu [ School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510641, China ]
• Hong-Ning Dai [ Faculty of Information Technology, Macau University of Science and Technology, Wai Long Avenida, Macau ] Corresponding Author
• Walter Hon-Wai Lau [ Faculty of Information Technology, Macau University of Science and Technology, Wai Long Avenida, Macau ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605