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Emerging multimedia applications have increased the need for video quality measurement. Motion is critical to this task, but is complicated owing to a variety of object movements and movement of the camera. Here, we categorize the various motion situations and deploy appropriate perceptual models to each category. We use these models to create a new approach to objective video quality assessment....
Objective metrics are widely used to estimate the perceived quality of audio and video content in consumer electronics applications. Although a number of such metrics exist, they have all been developed for the unimodal case-cross-modal interaction, i.e. the influence of video on audio and vice versa, is not considered by these metrics. We give an overview on these, and summarize human audiovisual...
When human subjects assess the quality of multimedia data, high level perceptual processes such as focus of attention (FoA) and eye movements are believed to play an important role in such tasks. While prior art reports incorporation of visual FoA into objective quality metrics, audio-visual FoA has been rarely addressed and utilized in spite of the importance and presence of both audio and video...
Visual quality is one of the most important issues in digital cinema applications, and the most practical method to measure visual quality is using objective metrics. Several objective metrics that take into account perceived visual quality have been developed in the past few years; one of them is based on the structural similarity paradigm. To analyze the performance of these objective metrics for...
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