Special Session on IPTV Technologies
and Applications
IPTV (Internet Protocol Television) is a new broadcast television service that is delivered over a network infrastructure. IPTV service is enabled by the advance of a collection of technologies, which include video compression, video streaming, digital rights management, network QoS, broadband network connections, and so on. IPTV offers more channels, faster channel changes, multiple picture-in-picture, user interactions, personalized media services, and many other internet services. A large number of operators and vendors spend efforts on IPTV standardization to support wider availability and interoperability of IPTV as a secure, reliable, and feature-rich service. As an emerging service, IPTV also posed design and deployment challenges for service providers on how to guarantee the video quality, how to maintain the system scalability, how to reduce the management cost, etc.
The goal of this special issue is to provide a forum for engineers, architectures, and researchers to share knowledge and innovation in IPTV services. We solicit papers covering various topics of interest that include (but are not limited to) the following:
● Architecture of IPTV systems
● Innovative IPTV services
● IPTV Standards Activities (e.g. ATIS-IIF, ITU-T FG IPTV, DVB, H.264/MPEG-4, etc.)
● IPTV Multimedia Home Networking
● Media Streaming for IPTV
● Personalized and Interactive User Experience for IPTV
● Content Management for IPTV
● Deployment of IPTV services
● New Trend of IPTV
Submission Instructions
Authors are invited to submit regular technical papers or position papers. The position papers should present novel technologies at an early stage of development or share future vision. All submissions should describe original, previously unpublished research, not currently under review by another conference or journal. Manuscripts should not exceed five (5) pages in double-column IEEE format. Please submit the paper through EDAS. Formatting details can be found under Author Information on the CCNC web site.
Session Organizers
Heather Yu, Huawei Technologies, USA, heathery@ieee.org
Zhu Liu, AT&T Research Lab, USA, zliu@research.att.com