Network Condition Adaptive Real-Time Streaming of an Intelligent Ubiquitous Middleware for U-City

In U-city(Ubiquitous City) environment, many types of real-time video data can be implemented in varied cases. For instance, the mobile user device can be in difficult environment to communication. When real-time streaming, it is necessary to ensure stable streaming and minimizing data loss rate. Unbreakable real-time video streaming is need to escape these environment or save distressed people. It needs that network adaptive real-time streaming to ensure real time streaming. In most case real-time streaming is more sensitive to delay between each frame, rather than quality of one frame. It can ensure real-time video streaming and scalability of transmission by control variable quantization parameter. In this paper, we describe and suggest continuity real-time streaming technique that adaptive to network condition for U-city environment. And it can support varied user device in intelligent ubiquitous middleware Smart UM. And it also can ensure continuity of real-time video streaming. The adaptive streaming system can also applied to varied many other systems.

[1]  Klara Nahrstedt,et al.  Peer-to-peer multimedia streaming and caching service , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[2]  Xianglong Liu,et al.  A Low-Delay FGS Rate Allocation Method for Real-Time Application , 2008, 2008 Congress on Image and Signal Processing.

[3]  Qiang Peng,et al.  A Novel Hybrid Open-Close Loop FGS Coding Framework Based on Key Reference Picture Selection , 2008, 2008 Congress on Image and Signal Processing.

[4]  Hamid Jafarkhani,et al.  A Performance Evaluation of H.264 FGS Sequences over Hybrid Networks , 2008, Seventh International Conference on Networking (icn 2008).

[5]  JongWon Kim,et al.  MPEG-4 FGS video streaming with constant-quality rate control and differentiated forwarding , 2002, IS&T/SPIE Electronic Imaging.

[6]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[7]  Miska M. Hannuksela,et al.  System and Transport Interface of SVC , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[8]  H. Schwarz,et al.  Overview of the Scalable H.264/MPEG4-AVC Extension , 2006, 2006 International Conference on Image Processing.

[9]  Mohammed Khamadja,et al.  A new technique for quality scalable video coding with H.264 , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  Kwang-deok Seo,et al.  Advanced FGS Coding Scheme Based on MPEG-4 FGS Technology , 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

[11]  Frank H. P. Fitzek,et al.  Video Traces for Network Performance Evaluation , 2006 .

[12]  Klara Nahrstedt,et al.  QoS-aware middleware support for collaborative multimedia streaming and caching service , 2003, Microprocess. Microsystems.

[13]  Iain E. G. Richardson,et al.  H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia , 2003 .

[14]  Chang-Sung Jeong,et al.  An Intelligent Ubiquitous Middleware for U-City: SmartUM , 2009, J. Inf. Sci. Eng..

[15]  Qian Zhang,et al.  Peer-to-peer based multimedia distribution service , 2004, IEEE Transactions on Multimedia.

[16]  Miska M. Hannuksela,et al.  H.264/AVC in wireless environments , 2003, IEEE Trans. Circuits Syst. Video Technol..

[17]  Wang Xin Overview of the H.264 / AVC Video Coding Standard , 2003 .

[18]  Jörg Ott,et al.  Error resilience support in H.263+ , 1998, IEEE Trans. Circuits Syst. Video Technol..

[19]  Klara Nahrstedt,et al.  SMART: a scalable middleware solution for ubiquitous multimedia service delivery , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[20]  Martin Reisslein,et al.  MPEG-4 and H.263 video traces for network performance evaluation , 2001, IEEE Netw..

[21]  Hermann Hellwagner,et al.  Design options and comparison of in-network H.264/SVC adaptation , 2008, J. Vis. Commun. Image Represent..