Video surveillance system refers to a video device that enables continuous or periodic video recording, observing of personal information about individuals in open public spaces (Ann Cavoukian, 2007). Video surveillance began in the 1960’s when closed-circuit television was first used to monitor and record activities at remote locations. Right now, digital camera and wireless network will support video surveillance to become more extensive, effective and feasible. Look : http://ft.unand.ac.id
Development in computing technology, compression technique and high speed networks have made demand for Internet video streaming service grown rapidly over past few years. It to be a challenging task to make video streaming system with high quality that can adapt to unpredictable channel characteristic, device capability and user preferences. It is not surprising that these challenges, in conjunction with the commercial promise of the technology, has attracted considerable research efforts, particularly directed towards efficient, robust, scalable and low-latency video coding and transmission (M. R. Civanlar et al., 2001, C. W. Chen et al., 2001).
There are six areas closely related and they are coherent constituents of video streaming architecture (Dapeng Wu, 2001), as we can see in figure 1.
Figure 1. Architecture of Video Streaming
From this paper, writers describe six areas and give readers a perspective on the range of options available, and the associated tradeoffs among performance, functionality, and complexity. In efforts, researchers study part of this area and make several techniques in order to gain high quality video streaming system.
There is a Fine-Granular-Scalability (FGS) framework that strikes good balance between coding efficiency and scalability while maintaining a very flexible and simple video coding structure (Hayder M. Radha et al., 2001). FGS has been recently adopted by the ISO MPEG-4 video standard as the core video-coding method for MPEG-4 streaming applications. At paper titled “Error Control and Concealment for Video Communication --- A Review” Yao Wang and Qin-Fa Zhu summarize and critique the approaches that have been developed for error control and concealment. And one of technique for coding manipulation there is Leaky Prediction (Sangeun Han and Bernd Girod, 2002) that suitable for time-varying error-prone channels, such as internet or wireless channel.
In wireless communication application, this multimedia data will be stream over various conditions. There are divergences in access networks, device, resource capability, bandwidth variation, networks condition and access by large number user anytime and from anywhere. This networking paradigm is often referred to as Universal Multimedia Access (UMA) (Mihaela van der Schaar and Hayder Radha, 2001). Therefore, video streaming applications need to implement highly scalable and adaptive techniques. The application need to modify content encoding and transmission rates in order to cope with the erroneous and time variant conditions of the network. One of it is Fuzzy Rate Control (Pavlos Antoniou et al., 2007) which proposed to adaptive feed back algorithm for internet video streaming.