A packet-layer video quality assessment model based on spatiotemporal complexity estimation

Packet-layer video quality assessment model is a light-weight model that is useful for application scenarios like inservice video quality monitoring and network service planning, which is under standardization in ITU-T. In this paper we first differentiate the requirements for video quality assessment model from these two different application scenarios. Then different criteria and methods are analyzed and used to construct two types of test datasets for model building and evaluation. Finally, a novel packet-layer video quality assessment model dealing with video quality monitoring is proposed by incorporating the estimation of the spatiotemporal complexity of video content. The interaction between content features and the error concealment effects plus error propagation effects is considered. Experiment results demonstrate that the proposed model achieves preferable and robust performance improvement compared with the existing models in both datasets for scenarios of video quality planning and monitoring. Especially, larger Pearson correlation increase from 0.75 to 0.93 and RMSE decrease from 0.56 to 0.31 are obtained in dataset for video quality monitoring.