Video Redundancy Investigation and Cooperative Cache Model in Wireless Network

Abstract

Video hosting service is of great interest to the Internet user. The video-sharing Web sites allow multiple users to upload the video file. The server in wireless network stores the video file. The issue of redundancy rises when the same video file is stored in different codes in the server. This process initiates additional network load condition on the server. Therefore, bottleneck of the server emerges due to redundancy issue. This paper addresses the redundancy through a combination Motion History Images and discrete wavelet transform-based feature extraction investigation model, and we design an efficient cooperative cache support in the wireless network. The first phase carries the redundancy check for the server, and the second phase adds quick access to the video file through cooperative cache support. This will build the wireless network into more robustness to access streaming traffic mobile nodes. The simulation performance proves video redundancy analysis is important in network-based real-time applications through computation time performance measure and delay measure to access video data in the wireless network.