A Novel Content-Based Video Streaming Algorithm for Fine Granular Scalable Coding

Most of current video streaming technologies, which protect the video stream by rate allocation or CRC means according to the bandwidth of network and the video quality user expected, is unrelated with the content of video. This paper proposes a new content-based video streaming method, which is based on video content analysis. The method discusses the rate distortion function of Fine Granular Scalable (FGS) enhancement layer bitstream based on the video content, and allocates the suitable bits for video units by the importance of video content. The experimental results indicate that our contentbased rate allocation method can protect the transmission of video efficiently, improve the subjective quality of video and use the network bandwidth in maximum utility.