An Effective Transmission and Browsing Methodology for Streaming Video

Browsing streaming video quickly through Internet with in the available bandwidth is a challenging one and it is also time consuming. The user has to browse, view and listen to the complete video to identify relevant contents. Most of the video summarization techniques presented in research papers are suitable only for stand-alone environments. They are not addressing or analyzing the problems faced by streaming video and do not provide an evaluation system to evaluate streaming parameters. The objective of video segmentation and summarization is to maximize the information rate from a streaming server to client in media access activities. This study discusses the segmentation techniques for creating video summary and proposes a hierarchical scheme, which decomposes a video sequence into different content-resolution levels to enhance the transmission and user interaction. Mathematical models have been derived to represent the video structure. Hence, streaming parameters such as bandwidth, buffer requirements and initial delay are evaluated for each segment at different levels to provide jitter-free playback. The algorithm developed in this study can be attached with a video encoder to evaluate streaming parameters and the result can be provided to a streaming server to create an effective transmission schedule.