Mpeg-21

Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360 o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order the appropriate flying route for the drone to be selected. This paper describes a scheme for supporting personalized real-time virtual tours in sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for the description of the metadata structure and semantics. The Metadata-aware Analytic Network Process (MANP) algorithm is proposed in order the weights about the user preferences for each monument type to be estimated. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm accomplishes ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order the scheme to continuously learn about the user preferences.

This paper introduces a novel approach for intelligent content personalisation in internet TV using the new MPEG-21 standard in the framework of an ongoing project, which aims at the delivery of interactive TV (iTV) services to disabled children. The approach includes the development of an authoring tool for a diversity of multimedia resources supporting a metadata model according to MPEG-21. The authoring tool works in conjunction with a simulation platform, acting as an interaction interface between our internet TV architecture and the prospective viewer. Based on that, interactivity in IP Television accessibility services is faced through metadata and adaptation.

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 contentadaptive 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.

In this paper, the accessibility of the interactive television is being discussed seen as a primary factor for its satisfactory adoption and commercial success. This is a presentation of work undertaken in the context of a research project aiming at delivering iTV services to disabled children. The project approaches this objective through the utilization of the upcoming MPEG-21 ISO standard. Based on that, iTV accessibility is faced through metadata and adaptation. This work approaches the accessibility of iTV in a wider manner contrary to previous studies that focus mostly onto the users with low vision. Such a case study is being presented accompanied with a discussion of relevant architectures, technologies and faced design issues.