Impact of Spatial and Temporal Information on Video Quality and Compressibility
Werner Robitza, Rakesh Rao Ramachandra Rao, Steve Göring, Alexander Raake · 2021
Spatial Information (SI) and Temporal Information (TI) are frequently-used metrics to classify the spatiotemporal complexity of video content. However, they are mostly used on original video sources, and their impact on actual encoding efficiency is not known. In this paper, we propose a method to determine the compressibility of video sources, that is, how good video quality can be under a given bitrate constraint. We show how various aggregations of SI and TI correlate with compressibility scores obtained from a public dataset of H.264/HEVCN P9 content. We observe that the minimum TI value as well as an existing criticality metric from the literature are good indicators for compressibility, as judged by subjective ratings as well as VMAF and P.1204.3 objective scores.