September 2022 | NTIA Technical Memo TM-22-564
Robert Grosso; Margaret H. Pinson
Abstract: This memorandum provides technical details of the VCRDCI dataset. This dataset was designed similarly to a video quality subjective experiment, but the VMAF metric was used to create simulated subjective data. The VCRDCI dataset contains 130 scenes that have been rescaled to eight resolutions and compressed into 10 variable bitrates with three codecs. The goals are (1) to provide a dataset for developing no-reference (NR) metrics that track the image quality of commonly used codecs, (2) to understand characteristics of videos that have complex interactions with video codecs, (3) to understand the relationship between public safety use cases and acceptable levels of compression, and (4) to develop a metric that responds strongly to the effects of video compression.
Keywords: video quality; public safety; camera capture; no-reference metric
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