Impact of Video Content on Video Quality for Video over Wireless Networks

Abstract

Video streaming is a promising multimedia application and is gaining popularity over wireless/mobile communications. The quality of the video depends heavily on the type of content. The aim of the paper is threefold. First, video sequences are classified into groups representing different content types using cluster analysis based on the spatial (edges) and temporal (movement) feature extraction. Second, we conducted experiments to investigate the impact of packet loss on video contents and hence find the threshold in terms of upper, medium and lower quality boundary at which users’ perception of service quality is acceptable. Finally, to identify the minimum send bitrate to meet Quality of Serive (QoS) requirements (e.g. to reach communication quality with Mean Opinion Score (MOS) greater than 3.5) for the different content types over wireless networks. We tested 12 different video clips reflecting different content types. We chose Peak-Signal-to-Noise-Ratio (PSNR) and decodable frame rate (Q) as end-to-end video quality metrics and MPEG4 as the video codec. The work should help optimizing bandwidth allocation for specific content in content delivery networks.