@MISC{Ruby_anevaluation, author = {Alice Yu Ruby and Alice Yu and Ruby Lee and Michael Flynn}, title = {An Evaluation of Video Fidelity Metrics}, year = {} }
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Abstract
We assess the capability of four metrics (average MSE, average SNR, ANSI parameters, and ITS metric) to determine the fidelity of video sequences. First, we discuss the ideal requirements for a video fidelity metric, in terms of monotonicity, degree of change, and consistent behavior. Then, we construct a series of highly reproducible degraded sequences containing artifacts common to DCTbased transform coders, such as H.263, and evaluate the performance of each metric on those sequences. From the resulting data, we determine the accuracy and reliability of each of those metrics. This helps guide the choice of an appropriate video fidelity metric for evaluating new video algorithm and architecture choices. 1. Introduction Recent interests in video technology development within multimedia systems highlight the growing importance of video fidelity measurement. Clearly, the ability to reliably quantify video fidelity using an objective metric would benefit video technology greatly. Not o...