Semantic multicast

Author:

Dao Son1,Shek Eddie1,Vellaikal Asha1,Muntz Richard R.2,Zhang Lixia2,Potkonjak Miodrag2,Wolfson Ouri3

Affiliation:

1. HRL Labs, Malibu, CA

2. Univ. of California, Los Angeles, Los Angeles

3. Univ. of Illinois, Chicago

Abstract

We introduce the concept of semantic multicast to implement a large-scale shared interaction infrastructure providing mechanisms for collecting, indexing, and disseminating the information produced in collaborative sessions. This infrastructure captures the interactions between users (as video, text, audio and other data streams) and promotes a philosophy of filtering, archiving, and correlating collaborative sessions in user and context sensitive groupings. The semantic multicast service efficiently disseminates relevant information to every user engaged in the collaborative session, making the aggregated streams of the collaborative session available to the correct users at the right amount of detail. This contextual focus is accomplished by introducing proxy servers to gather, annotate, and filter the streams appropriate for specific interest groups. Users are subscribed to appropriate proxies, based on their profiles, and the collaborative session becomes a multi-level multicast of data from sources through proxies and to user interest groups.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference15 articles.

1. A survey of technologies for parsing and indexing digital video;Ahanger G.;Journal of Visual Communication and Image Representation,1996

2. Botafogo R. and Mosse D. 1995. The MORENA model for hypermedia authoring and browsing. IEEE Multimedia 4249. Botafogo R. and Mosse D. 1995. The MORENA model for hypermedia authoring and browsing. IEEE Multimedia 4249.

3. CoBase: A scalable and extensible cooperative information system

4. Information dissemination in hybrid satellite/terrestrial networks;Dao S.;IEEE Data Engineering Bulletin,1996

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1. On-line knowledge- and rule-based video classification system for video indexing and dissemination;Information Systems;2002-12

2. On-line Scene Change Detection of Multicast Video;Journal of Visual Communication and Image Representation;2001-03

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