Streaming Video Based on an Intelligent Frame Skipping Technique

Video streaming is an important field of global communications and data processing. It is divided into server and client sides connected via network. Video streaming is concerned with delivering video data from server to client over the network as fast and with as little loss as possible. In this study the possibilities to minimize the amount of data transferred over the network in video streaming are investigated and a video streaming technique comprised of server and client sides is proposed. To expand the flexibility and adaptability of the proposed video streaming technique an operational parameter system was constructed and the parameter value ranges were defined. The proposed video streaming technique was then applied to three sample videos. Before streaming the server side of the proposed technique reduced the frame count of input videos based on operational parameter values while the client side reconstructed the skipped frames. Then the quality of the resulting videos was measured and evaluated. To evaluate the reconstructed frames and videos the PSNR measurement method was used. The study concludes that by using the proposed video streaming technique it is possible to reduce the amount of transfer data by dropping frames on the server side and reconstructing them on the client side