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Abstract: Network video distortion caused by packet loss is a research priority of online#br# video streaming service quality evaluation. An associated quality assessment model of motion#br# vector and DCT without reference video is provided. This model associates the human visual#br# perception caused by network packet loss with the frame type whose packet is lost, the movement#br# state and the richness of texture. This model takes the macro blocks that are lost as the basic study#br# object. And it calculates the motion intenseness by using the macro blocks? motion vector and#br# calculates the richness of its texture by using the DCT coefficients. And this model evaluates#br# videos? quality objectively by associating the motion vector and DCT without any information of#br# the original video and doesn?t need decoding completely. Experimental results show that this#br# model's evaluation results have a good consistency with the subjective evaluation results.#br# Key words: quality assessment without reference; packet loss; motion intenseness; DC#br# coefficient of DCT; spatial complexity
