Fine Granularity Scalable Video Coding Technology Research

While developing of video coding technology and a series of video coding standards coming on one after the other, video coding technology has been widely used in many fields. However, the major task of the traditional video coding technologies for storage-based applications is how to improve the coding efficiency. With the rapid development of Internet and multimedia technologies, the demand of video communication based on network has been more and more aboard, and how to produce a video streaming which can adapt to communication has been a key question for video coding technology, so the aim of video coding has changed from improving coding efficiency to paying equal attention to coding efficiency and communication. Fine granular scalability coding (FGS) can effective solve the problems of video streaming on network, such as great data quantity, change of band width and lose of packages, and hence is regarded as a promising video coding scheme in the Internet scenario.Because of the low coding efficiency of FGS, this paper's work is looking for a method to improve coding efficiency while keeping scalable capability. This paper firstly introduced the principle of video compressing, key technology of video coding, development of coding standards and their essential characters. The introduction of essential characters in H.264 was in particular. This paper also introduced each scalable coding method, summarized theirs principles, methods and improvements, and especially introduced fine granular scalability coding and its improvements. In this foundation, this paper combined H.264 and MPEG-4 FGS, and proposed a new method of FGS --- FGS video coding base on H.264. This method use H.264 as the base layer and the enhancement layer of MPEG-4 FGS as the enhancement layer, so it have more high coding efficiency while keeping scalable capability. Experimental results show that, compare with MPEG-4 FGS, this method can obviously improve the efficiency of coding and improve the subjective and objective picture quality. Afterwards, this paper introduced two enhanced methods for FGS---water ring scanning arithmetic and skin color selective enhancement arithmetic, respective enhanced to the centre area of water ring and the area of skin color. The experiments proves that, the methods of water ring arithmetic can significantly improve the picture quality in the centre area of water ring while keeping the efficiency of the whole picture and coding complexity, and the method of skin color selective enhancement arithmetic can significantly improve the skin color area's picture quality while propriety reducing the whole picture's coding efficiency.