• Title/Summary/Keyword: TVA Encapsulation

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An Efficient Scheme of Encapsulation Method to Avoid Fragmentation Degradation During TVA Metadata Delivery (TVA 메타데이터 전송과정에서 단편화에 의한 성능 감소를 회피하기 위한 효율적인 캡슐화 방식)

  • Oh, Bong-Jin;Park, Jong-Youl;Kim, Sang-Hyung;Yoo, Kwan-Jong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.7C
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    • pp.627-636
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    • 2012
  • Recently, XML is used to describe details of service and contents for various fields such as IPTV and digital broadcast services because of it's high readability and extensibility. TV-Anytime's schema and delivery protocol have been especially adopted as basic standards for them, and extended to include their own private functions. However, XML describes documents using text-based method, and this causes to create big documents rather than traditional methods. Therefore, many encoding algorithms have been proposed to reduce XML documents like EXI, BiM, GZIP and fast-info set etc. Although these algorithms shows efficient compression effects for XML documents, but they can't avoid fragmentation degradation during encapsulation steep. This paper proposes an efficient encapsulation scheme of TV-Anytime to avoid fragmentation degradation of encoding effect using common string tables.

Design and Implementation of an Optimization information based Metadata Encapsulation Architecture for IPTV Service Discovery (IPTV 서비스 검색을 위한 최적화 정보 기반 메타데이터 캡슐화 구조 설계 및 구현)

  • Oh, Bong-Jin;Paik, Eui-Hyun;Yoo, Kwan-Jong
    • The KIPS Transactions:PartC
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    • v.18C no.4
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    • pp.255-264
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    • 2011
  • TV-Anytime is an XML-based standard for description of PVR and digital broadcast services. It is referenced by many standards of digital broadcast service for their schemas and delivery protocols of contents guide. Although its readability and extensibility, TV-Anytime has a big problem which generates massive documents due to its text-based description method. Therefore, various encoding algorithms have been proposed to reduce the size of XML documents. This paper proposes efficient metadata encapsulation architecture based on the optimization information generated at server-side to minimize XML documents. Advanced indexing method is also proposed to reduce resources needed to encapsulate indices and to receive metadata with fast and explicit mechanism.