  The video technology scenery has been very vivid over the past years, with
novel video coding technologies introduced that promise improved compression
performance over state-of-the-art technologies. Despite the fact that a lot of
video datasets are available, representative content of the wide parameter
space along with subjective evaluations of variations of encoded content from
an unpartial end is required. In response to this requirement, this paper
features a dataset, the BVI-CC. Three video codecs were deployed to create the
variations of the encoded sequences: High Efficiency Video Coding (HEVC) Test
Model (HM), AOMedia Video 1 (AV1), and Versatile Video Coding (VVC) Test Model
(VTM). Nine source video sequences were carefully selected to offer both
diversity and representativeness in the spatio-temporal domain. Different
spatial resolution versions of the sequences were created and encoded by all
three codecs at pre-defined target bit rates. The compression efficiency of the
codecs was evaluated with commonly used objective quality metrics, and the
subjective quality of their reconstructed content was also evaluated through
psychophysical experiments. Additionally, an adaptive bit rate (convex hull
rate-distortion optimization across spatial resolutions) test case was assessed
using both objective and subjective evaluations. Finally, the computational
complexities of the tested codecs were examined. All data have been made
publicly available as part of the dataset, which can be used for coding
performance evaluation and video quality metric development.
