Standard Codecs: Image Compression to Advanced Video Coding
Standard Codecs: Image Compression to Advanced Video Coding
IEEE Transactions on Wireless Communications
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Low-complexity video coding for receiver-driven layered multicast
IEEE Journal on Selected Areas in Communications
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Analysis of video transmission over lossy channels
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
MPEG-4 and H.263 video traces for network performance evaluation
IEEE Network: The Magazine of Global Internetworking
Power efficient video multipath transmission over wireless multimedia sensor networks
Mobile Networks and Applications
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This paper presents an intelligent packet scheduling scheme based on an analytical distortion model for Multi-Referenced H.264 video over 802.11 wireless networks. This model considers that video distortion in H.264 video codecs is based on multi-reference video frames, as opposed to previous video standards. The model has been verified with actual video distortion measurements and it has been compared with a simple additive model that omits the correlation between the frames. The packet dropping that is required in the case of the available transmission rate is limited, takes into consideration the impact of the loss of the frame on the resulting video distortion that depends not only on the distortion of the particular frame but on the distortion effect that propagates to the correlated frames. Furthermore, simulation results show that the proposed model accurately captures the distortion effect for reference based H.264 coding and the improves the reconstructed video quality when is implemented in rate adaptation via packet scheduling.