Presentation is loading. Please wait.

Presentation is loading. Please wait.

Benedita Malheiro Jeremy Foss Juan Carlos Burguillo Ana Peleteiro

Similar presentations


Presentation on theme: "Benedita Malheiro Jeremy Foss Juan Carlos Burguillo Ana Peleteiro"— Presentation transcript:

1 Benedita Malheiro Jeremy Foss Juan Carlos Burguillo Ana Peleteiro Fernando Mikic

2

3 Framework for the dynamic personalisation of media content. Players: Media content producers, media service distributors, and viewers. Two sorts of video objects: User-selected stream and external streams. Profiling of the viewers is continuously performed by the system. The identification of the potential candidate objects is performed by an agent-based brokerage platform.

4

5 COAST: Content-centric network overlay architecture linking content sources to content consumers, including content-aware retrieval, delivery and streaming. CAM4HOME: Metadata enabled content delivery framework to support end users and commercial content providers to create and deliver rich multimedia experiences. ACDC: User-aware content-delivery architecture for content navigation and personalisation based on semantics and clouding. OMWeb: Personalised media objects constructed on the fly from distributed components and according to user preferences.

6 MPEG-7: Standard developed by the Moving Picture Experts Group (MPEG) for the structural and semantic description of multimedia content. MPEG-7 based ontologies: Harmony, SmartWeb, Boemie, DS-MIRF, Rhizomik, aceMedia Project RDFS and Core Ontology for Multimedia. To adopt an MPEG-7 based ontology for the representation of all media content.

7 Content-based Filtering (CBF): It uses the description of the resource and the user’s interests to provide recommendations. Collaborative Filtering (CF): It usually considers the comparison of ratings, provided by the users to the resources, with other similar users (concerning their profile). Collaborative Tagging (CT): It allows users to describe contents by means of tags and to share such description. Case-based Reasoning (CBR): It focuses on inexact reasoning by a similarity measurement among cases.

8 E-brokers: Electronic intermediaries that facilitate exchanges between buyers (consumers) and sellers (producers) by meeting the needs of both parties. E-brokerages are still a relative new and poorly understood type of business. The existing so-called media e-brokerage systems are mainly for resource allocation and not for media content delivery.

9 Frame-based overlays (objects are overlays images) and Object-based video (supported by MPEG-4 extensions). Digital Media Broadcasting (DMB): It usually considers the comparison of ratings, provided by the users to the resources, with other similar users (concerning their profile). Transmitted video objects are multiplexed via the Delivery Multimedia Integration Framework (DMIF). Objects are related to each other in their video scene and in their temporal relationships by the Binary Interchange Format (BIFS) or through the Lightweight Application Scene Representation (LASeR). The user-end equipment will reassemble the objects into the desired scene for playback to the user interface.

10

11 Potential network implementation  Integration server: It receives the source video file from the head-end. It will request and retrieve the externally acquired video objects from third party video object servers. Selecting video: The source metadata requirements. The external video object metadata description. The profile of the viewer. Re-multiplexing and streaming.

12

13 Generic architecture  Video objects are MPEG-4 instances annotated in an MPEG-7 based OWL ontology. Enterprise agents: Producers and distributors of media content modelled by autonomous intelligent agents. They can publish, update and remove their service descriptions – metadata descriptions of the objects they hold or seek to insert in the viewer stream. Any entity can discover, download and interact with any service (agent) automatically.

14 Viewer profiling  To find the best possible objects to insert within the mainstream: Users’ profiles as CBR cases containing information (personal and semantic data, and tag cloud). Filtering techniques enhaced with collaborative tagging to search for recommended objects. P2P scheme to perform distributed search.

15 Brokerage platform (2 layers)  Top layer  Agents representing the producers and distributors (enterprise agents and market profiler agent). Bottom layer  Agents constituting the marketplace, which is governed by the market agent and populated by delegate agents.

16

17 Framework is under development. Brokerage platform  JADE. Ontology  OWL. Media components  MPEG-7 based OWL ontology. Currently types of markets  Iterated Contract Net negotiation protocol.

18 Introduction Background Network Architecture System Overview Current StatusConclusion

19 Ambitious solution to the dynamic media content personalisation challenge. Scalable market model to cover the global media industry. Based on existing standards. Design concept  Open, modular, and open source and Java based. Semantic Web (ontology-based) approach for the knowledge representation intends to contribute to promote the interoperability with other systems and to allow future expansions.

20 Benedita Malheiro Jeremy Foss Juan Carlos Burguillo Ana Peleteiro Fernando Mikic


Download ppt "Benedita Malheiro Jeremy Foss Juan Carlos Burguillo Ana Peleteiro"

Similar presentations


Ads by Google