Research

January

"Individualisation Avancée des Service IPTV"

Who ? 

The thesis was defended by Songbo SONG, PhD in RS2M department.

When ?

Friday 6th of january, 2012 at 2.00 PM

Where ?

Orange Labs, "Les jardins de l'Innovation", 38-40 rue du Général Leclerc, 92714 Issy-les-Moulineaux.

Board

• Pascal Lorenz, Université de Haute-Alsace, reporter
• Ken Chen, Université Paris 13, reporter
• Guy Pujolle, Université Pierre et Marie Curie, examiner
• Gilles Bourdon, Orange France, examiner
• Stéphane Betge-Brezetz, Alcatel Lucent Bell Labs France, examiner
• Laurent Ruckenbusch, Orange Labs, examiner
• Hassna Moustafa, Orange Labs, thesis co-supervisor
• Hossam Afifi, Telecom SudParis, thesis supervisor

Abstract

"Internet Protocol TV (IPTV) delivers television content to users over IP-based network. Different from the traditional TV services, IPTV platforms provide users with large amount of multimedia contents with interactive and personalized services, including the targeted advertisement, on-demand content, personal video recorder, and so on. IPTV is promising since it allows to satisfy users experience and presents advanced entertainment services. On the other hand, the Next Generation Network (NGN) approach in allowing services convergence (through for instance coupling IPTV with the IP Multimedia Subsystem (IMS) architecture or NGN Non-IMS architecture) enhances users' experience and allows for more services personalization. Although the rapid advancement in interactive TV technology (including IPTV and NGN technologies), services personalization is still in its infancy, lacking the real distinguish of each user in a unique manner, the consideration of the context of the user (who is this user, what is his preferences, his regional area, location, ..) and his environment (characteristics of the users' devices screen types, size, supported resolution, and networks available network types to be used by the user, available bandwidth, ...) as well as the context of the service itself (content type and description, available format "HD/SD", available language, ..) in order to provide the adequate personalized content for each user. This advanced IPTV services allows services providers to promote new services and open new business opportunities and allows network operators to make better utilization of network resources through adapting the delivered content according to the available bandwidth and to better meet the QoE (Quality of Experience) of clients.
This thesis focuses on enhanced personalization for IPTV services following a user-centric context-aware approach through providing solutions for:

1. Users' identification during IPTV service access through a unique and fine-grained manner (different from the identification of the subscription which is the usual current case) based on employing a personal identifier for each user which is a part of the user context information.
2. Context-Aware IPTV service through proposing a context-aware system on top of the IPTV architecture for gathering in a dynamic and real-time manner the different context information related to the user, devices, network and service. The context information is gathered throughout the whole IPTV delivery chain considering the user domain, network provider domain, and service/content provider domain. The proposed context-aware system allows monitoring user's environment (devices and networks status), interpreting user's requirements and making the user's interaction with the TV system dynamic and transparent.
3. Personalized recommendation and selection of IPTV content based on the different context information gathered and the personalization decision taken by the context-aware system (different from the current recommendation approach mainly based on matching content to users' preferences) which in turn highly improves the users' Quality of Experience (QoE) and enriching the offers of IPTV services."