  To meet the real-time analysis requirements of video streaming applications,
we propose an inter-relation-aware video complexity analyzer (IVCA) as an
extension to VCA. The IVCA addresses the limitation of VCA by considering
inter-frame relations, namely motion and reference structure. First, we enhance
the accuracy of temporal features by introducing feature-domain motion
estimation into the IVCA. Next, drawing inspiration from the hierarchical
reference structure in codecs, we design layer-aware weights to adjust the
majorities of frame complexity in different layers. Additionally, we expand the
scope of temporal features by considering frames that be referred to, rather
than relying solely on the previous frame. Experimental results show the
significant improvement in complexity estimation accuracy achieved by IVCA,
with minimal time complexity increase.
