Authors:
Giorgos Andreou
;
Phivos Mylonas
and
Kostas Karpouzis
Affiliation:
National Technical University of Athens, Greece
Keyword(s):
Personalization, Collaborative Filtering, MPEG-21, Digital Item, Network Management Adaptation.
Related
Ontology
Subjects/Areas/Topics:
Internet Technology
;
Network Systems, Proxies and Servers
;
Protocols and Standards
;
System Integration
;
Web Information Systems and Technologies
Abstract:
In this paper we present an integrated framework for personalized access to interactive entertainment content, using characteristics from the emerging MPEG-21 standard. Our research efforts focus on multimedia content presented within the framework set by today’s movie content broadcasting over a variety of networks and terminals. This work contributes to the bridging of the gap between the content and the user, providing end-users with a wide range of real-time interactive services, ranging from plain personalized statistics and optional enhanced in-play visual enhancements to a fully user- and content-adaptive platform. The proposed approach implements and extends a well-known collaborative filtering approach; it applies a hierarchical clustering algorithm on the data towards the scope of group modelling implementation. It illustrates also the benefits from the MPEG-21 components utilization in the process and analyzes the importance of the Digital Item concept. Finally, a use case
scenario is presented to illustrate the entire procedure. The core of this work is the novel group modelling approach, on top of the hybrid collaborative filtering algorithm, employing principles of taxonomic knowledge representation and hierarchical clustering theory. The outcome of this framework design is that end-users enhance their personalized viewing experience.
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