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With the rapid development of network visual communications, there is an urgent need of effective and efficient video quality assessment (VQA) methods for quality control and resource allocation purposes. In this paper, a spatial and temporal reduced-reference (RR) VQA measure is combined with a robust video watermarking approach, leading to a quality-aware video (QAV) system. At the sender side, both intra-and inter-frame RR features are calculated from the original video based on statisticaldoi:10.1109/icip.2010.5651106 dblp:conf/icip/ZengW10 fatcat:7uejaxtpwzghzhmnxnfs3lju64