• Title/Summary/Keyword: Media Annotation Service

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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)

  • Park, Joon Young;Lee, Soobin;Kang, Dongyeop;Seok, YoungTae
    • Journal of Information Technology Services
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    • v.12 no.1
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    • pp.271-287
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    • 2013
  • 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.

W3C based Interoperable Multimodal Communicator (W3C 기반 상호연동 가능한 멀티모달 커뮤니케이터)

  • Park, Daemin;Gwon, Daehyeok;Choi, Jinhuyck;Lee, Injae;Choi, Haechul
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.140-152
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    • 2015
  • HCI(Human Computer Interaction) enables the interaction between people and computers by using a human-familiar interface called as Modality. Recently, to provide an optimal interface according to various devices and service environment, an advanced HCI method using multiple modalities is intensively studied. However, the multimodal interface has difficulties that modalities have different data formats and are hard to be cooperated efficiently. To solve this problem, a multimodal communicator is introduced, which is based on EMMA(Extensible Multimodal Annotation Markup language) and MMI(Multimodal Interaction Framework) of W3C(World Wide Web Consortium) standards. This standard based framework consisting of modality component, interaction manager, and presentation component makes multiple modalities interoperable and provides a wide expansion capability for other modalities. Experimental results show that the multimodal communicator is facilitated by using multiple modalities of eye tracking and gesture recognition for a map browsing scenario.