MPEG Video Compression Standard
MPEG Video Compression Standard
Joint Adoption of QoS Schemes for MPEG Streams
Multimedia Tools and Applications
The Packet Loss Effect on MPEG Video Transmission in Wireless Networks
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
Quantified PQoS assessment based on fast estimation of the spatial and temporal activity level
Multimedia Tools and Applications
EURASIP Journal on Applied Signal Processing
Quality Assessing of Video over a Packet Network
DMAMH '07 Proceedings of the Second Workshop on Digital Media and its Application in Museum & Heritage
Modeling packet-loss visibility in MPEG-2 video
IEEE Transactions on Multimedia
Cross-Dimensional Perceptual Quality Assessment for Low Bit-Rate Videos
IEEE Transactions on Multimedia
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Efficient DCT-domain blind measurement and reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Transmission Distortion Analysis for Real-Time Video Encoding and Streaming Over Wireless Networks
IEEE Transactions on Circuits and Systems for Video Technology
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Video quality estimator for wireless mesh networks
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
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This paper proposes, describes and evaluates a novel framework for video quality prediction of MPEG-based video services, considering the perceptual degradation that is introduced by the encoding process and the provision of the encoded signal over an error-prone wireless or wire-line network. The concept of video quality prediction is considered in this work, according to which the encoding parameters of the video service and the network QoS conditions are used for performing an estimation/prediction of the video quality level at the user side, without further processing of the actual encoded and transmitted video content. The proposed prediction framework consists of two discrete models: (i) a model for predicting the video quality of an encoded signal at a pre-encoding stage by correlating the spatiotemporal content dynamics to the bit rate that satisfies a specific level of user satisfaction; and (ii) a model that predicts primarily the undecodable frames (and subsequently the perceived quality degradation caused by them) based on the monitored averaged packet loss ratio of the network. The proposed framework is experimentally tested and validated with video signals encoded according to MPEG-4 standard.