Predicting Full-Reference Video Quality Measures using HEVC Bitstream-Based No-Reference Features
Abstract
This paper presents bitstream-based features for
perceptual quality estimation of HEVC coded videos. Various
factors including the impact of different sizes of block-partitions,
use of reference-frames, the relative amount of various prediction
modes, statistics of motion vectors and quantization parameters
are taken into consideration for producing 52 features relevant
for perceptual quality prediction. The used test stimuli constitutes
560 bitstreams that have been carefully extracted for this analysis
from the 59, 520 bistreams of the large-scale database generated
by the Joint Effort Group (JEG) of the Video Quality Experts
Group (VQEG). The obtained results show the significance of the
considered features through reasonably accurate and monotonic
prediction of a number of objective quality metrics.