Design of Video Quality Metrics with Multi-Way Data by Christian Keimel

By Christian Keimel

This booklet proposes a data-driven technique utilizing multi-way facts research for the layout of video-quality metrics. It additionally allows video- caliber metrics to be created utilizing arbitrary positive aspects. this knowledge- pushed layout process not just calls for no specific wisdom of the human visible approach, but in addition permits a formal attention of the temporal nature of video utilizing a three-way prediction version, akin to the three-way constitution of video. utilizing easy instance metrics, the writer demonstrates not just that this merely facts- pushed method outperforms state of the art video-quality metrics, that are frequently optimized for particular houses of the human visible procedure, but in addition that multi-way information research equipment outperform the combo of two-way facts research equipment and temporal pooling. 

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