Metadata Based High Quality Image/video Streaming Using Curvelet Transform

Today’s revolution is mobile communication revolution, which enables us to connect each other worldwide. Due to the enhancement of multimedia and video surveillance services people are more sophisticated. Because of bandwidth requirements and resolution mismatch the designers still striving to provide robust coding technique. In mobile, web applications scalable video coding plays a vital role to integrate network providers with their clients. Generally, visual artifacts introduced in the existing video up/down sampling and to bridge the resolution gap between video streaming and display devices a new curvelet based architecture is introduced. Specifically, the proposed method up samples video frames by decoding the lower resolution (LR) video together with necessary features extracted from high resolution (HR). In this paper edge extraction and profile generation is provided as metadata by using curvelet transform. This proposed metadata based video streaming using curvelet transformation structure enhancing the video quality during LR to HR scheme and it provides good solution commercially.