Implementation of real-time video streaming with fuzzy logic controller

The increasing demand of video streaming recently causes a trouble on network congestion due to a huge data rate transmission. One concept to reduce such a problem is to dynamically adjust the rate of video streaming according to an available bandwidth. This paper introduces a fuzzy logic controller to control a real-time video streaming by adjusting either a frame rate or a video quality. In this paper, two experimental environments, LAN or GPRS connections, are investigated. The results show that a fuzzy logic controller is able to control a frame rate and a quality of video streaming according to an available bandwidth automatically.

[1]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[2]  Myung-Ki Shin,et al.  Applying QoS guaranteed multicast audio and video to the Web , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[3]  Toshiro Kinugasa,et al.  A network MPEG camera , 1999, 1999 Digest of Technical Papers. International Conference on Consumer Electronics (Cat. No.99CH36277).

[4]  W. Mauser,et al.  Modelling and model verification of the spectral reflectance of soils under varying moisture conditions , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

[5]  D. Lobell,et al.  Moisture effects on soil reflectance , 2002 .

[6]  Cheng-Zhong Xu,et al.  eQoS: Provisioning of Client-Perceived End-to-End QoS Guarantees in Web Servers , 2006, IEEE Transactions on Computers.

[7]  F. Baret,et al.  Relating soil surface moisture to reflectance , 2002 .

[8]  Pablo J. Zarco-Tejada,et al.  Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops , 2004 .

[9]  Anoop Gupta,et al.  A frame-work for live multicast of video streams over the Internet , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[10]  M. Jamshidi,et al.  Fuzzy logic and control: software and hardware applications , 1993 .

[11]  D. Lobell,et al.  A Biogeophysical Approach for Automated SWIR Unmixing of Soils and Vegetation , 2000 .

[12]  E. Muller,et al.  Modeling soil moisture-reflectance , 2001 .

[13]  A. Ångström The Albedo of Various Surfaces of Ground , 1925 .

[14]  Guiming He,et al.  An embedded adaptive live video transmission system over GPRS/CDMA network , 2005, Second International Conference on Embedded Software and Systems (ICESS'05).

[15]  C. Daughtry,et al.  Mitigating the effects of soil and residue water contents on remotely sensed estimates of crop residue cover , 2008 .

[16]  W. Verstraeten,et al.  A Conceptual Framework for the Simultaneous Extraction of Sub-pixel Spatial Extent and Spectral Characteristics of Crops , 2009 .