No.156 March 2016

Presentations

  • A Synchronization Method Between Broadcast and MPEG-DASH Streaming on Multi-screen Devices
    Masayoshi ONISHI, Yuki HIRONAKA, Hisayuki OHMATA, Kinji MATSUMURA and Keigo MAJIMA
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    ABSTRACT

    We are studying a method to synchronize video playback between broadcast and broadband on multi-screens for an advancement of Hybridcast services. For example, using this technology, a multi-view service can be provided that lets a viewer to simultaneously watch broadcast content as a main view and broadband content as an alternative view. In this paper we propose a method that uses MPEG-DASH for delivering an IP stream that is to be displayed in synchronization with broadcasting. In the method an MPD fi le for the IP stream is periodically updated to adjust the playback starting position to the progressing broadcasting program. Then the IP stream is buffered in a receiver for precise synchronization according to the difference of time stamps between both streams. This paper also describes an experiment using a prototype system. The prototype system performed synchronization between broadcast and MPEG-DASH and confi rmed the validity of the proposed method.
  • Study on Program Information Database as Linked Open Data
    Masaru MIYAZAKI, Makoto URAKAWA, Ichiro YAMADA, Kikuka MIURA, Hideki SUMIYOSHI, Hiroshi FUJISAWA and Toshio NAKAGAWA
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    ABSTRACT

    As a new content-serving method in which the TV content information can reach awaiting viewers via various external services, we propose in this paper program-related information as machine-readable web data that can be used in external services. We report on the construction of the program information database using the linked open data (LOD) technique recommended by the World Wide Web Consortium. Based on experimental results, we determine that services employing a variety of program information can be realized by representing knowledge about the content as LOD data.
  • Semantic Keyword Extraction Using Wikipedia Data
    Masahide NAEMURA and Yuko YAMANOUCHI
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    ABSTRACT

    We are researching technologies for the automatic acquisition and analysis of viewing status and the estimation of viewers' interests in a domestic TV viewing environment, with a view to developing new services that provide program related information according to viewers' preferences. In order to infer viewers' interest targets, we developed a method to selectively extract keywords from closed caption data that belong to particular classes derived from Wikipedia category information. This method enabled selective extraction of keywords identifying the names of people and places, which are generally promising candidates for viewer interest. The estimation experiment was made to verify the effectiveness of the proposed method, in which the matching degree between the extracted keywords and viewers interested ones was checked.