Semantic multicast: intelligently sharing collaborative sessions

Authors:
Son Dao;Eddie Shek;Asha Vellaikal;Richard R. Muntz;Lixia Zhang;Miodrag Potkonjak;Ouri Wolfson
Affiliations:
HRL Labs, Malibu, CA;HRL Labs, Malibu, CA;HRL Labs, Malibu, CA;Univ. of California, Los Angeles, Los Angeles;Univ. of California, Los Angeles, Los Angeles;Univ. of California, Los Angeles, Los Angeles;Univ. of Illinois, Chicago
Venue:
ACM Computing Surveys (CSUR)
Year:
1999

Citing 9
Cited 4

A reliable multicast framework for light-weight sessions and application level framing

SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Video parsing and browsing using compressed data

Multimedia Tools and Applications
CoBase: a scalable and extensible cooperative information system

Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Floor control for multimedia conferencing and collaboration

Multimedia Systems
Incremental clustering and dynamic information retrieval

STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Structured Video Computing

IEEE MultiMedia
Intelligent Access to Digital Video: Informedia Project

Computer
Knowledge Acquisition Via Incremental Conceptual Clustering

Machine Learning
A Formal Basis for Structured Multimedia Collaborations

ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems

On-line knowledge- and rule-based video classification system for video indexing and dissemination

Information Systems
Semantic multicast for content-based stream dissemination

Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
SemCast: Semantic Multicast for Content-Based Data Dissemination

ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Semantic multicast notifications: increasing information timeliness and efficiency with ad-hoc mapping of operational events and organizational data

CEA'10 Proceedings of the 4th WSEAS international conference on Computer engineering and applications

Quantified Score

Hi-index	0.00

Visualization

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.