Research Article
The Application of Equivalent Mean Square Error Method in Scalable Video Perceptual Quality
231 downloads
@INPROCEEDINGS{10.1007/978-3-319-73447-7_1, author={Daxing Qian and Ximing Pei and Xiangkun Li}, title={The Application of Equivalent Mean Square Error Method in Scalable Video Perceptual Quality}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={SVC Eq-MSE MinFR Perceptual quality}, doi={10.1007/978-3-319-73447-7_1} }- Daxing Qian
Ximing Pei
Xiangkun Li
Year: 2018
The Application of Equivalent Mean Square Error Method in Scalable Video Perceptual Quality
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_1
Abstract
Scalable video is a stream video over heterogeneous networks to different clients. To provide the better quality of service (QoS) or quality of experience (QoE) to customer, we propose an Equivalent Mean Square Error (Eq-MSE) method which is developed based on spatial and temporal frequency analysis of input video content. Eq-MSE is used to calculate minimal frame rate (MinFR) for different videos to guarantee motion without jitter. The proposed scheme in this paper can provide better perceptual video quality than without considering the video content impact.
Copyright © 2017–2024 EAI
