Compressed-domain techniques for error-resilient video transcoding using RPS
IEEE Transactions on Image Processing
Video transcoding: an overview of various techniques and research issues
IEEE Transactions on Multimedia
Application-driven cross-layer optimization for video streaming over wireless networks
IEEE Communications Magazine
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Modeling of transmission-loss-induced distortion in decoded video
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
Effective Fades and Flashlight Detection Based on Accumulating Histogram Difference
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
Transmission distortion analysis for video streams is a considerably challenging task. In this letter, a compressed-domain-based (CDB) transmission distortion model for precoded H.264/advanced video coding video streams is developed. Unlike the earlier schemes, which were based on pixel domain and required a complete decoding of the compressed video streams, the CDB model only requires some information on the video features, which can be directly extracted from the compressed video streams. Therefore, the complexity of the calculations is substantially reduced, which is well suited for real-time applications. More specifically, the model is applicable to the real-time transmission for precoded video streams, such as video on demand and mobile video. The experimental results demonstrate high accuracy of the model. Furthermore, an application example using the CDB model in resource allocation in real-time multiuser video communication reveals the applicability and effectiveness of the model.