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WalkieTagging : Efficient Speech-Based Video Annotation Method for Smart Devices

워키태깅 : 스마트폰 환경에서 음성기반의 효과적인 영상 콘텐츠 어노테이션 방법에 관한 연구

  • 박준영 (한국과학기술원 IT융합연구소 지식융합팀) ;
  • 이수빈 (한국과학기술원 IT융합연구소 지식융합팀) ;
  • 강동엽 (한국과학기술원 IT융합연구소 지식융합팀) ;
  • 석영태 (SK텔레콤 솔루션 사업본부 솔루션 개발팀)
  • Received : 2013.01.26
  • Accepted : 2013.03.17
  • Published : 2013.03.31

Abstract

The rapid growth and dissemination of touch-based mobile devices such as smart phones and tablet PCs, gives numerous benefits to people using a variety of multimedia contents. Due to its portability, it enables users to watch a soccer game, search video from YouTube, and sometimes tag on contents on the road. However, the limited screen size of mobile devices and touch-based character input methods based on this, are still major problems of searching and tagging multimedia contents. In this paper, we propose WalkieTagging, which provides a much more intuitive way than that of previous one. Just like any other previous video tagging services, WalkieTagging, as a voice-based annotation service, supports inserting detailed annotation data including start time, duration, tags, with little effort of users. To evaluate our methods, we developed the Android-based WalkieTagging application and performed user study via a two-week. Through our experiments by a total of 46 people, we observed that experiment participator think our system is more convenient and useful than that of touch-based one. Consequently, we found out that voice-based annotation methods can provide users with much convenience and satisfaction than that of touch-based methods in the mobile environments.

Keywords

References

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