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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, the author 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.
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