Transmission distortion modeling for wireless video communication

The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. ; Title from title screen of research.pdf file viewed on (January 22, 2007) ; Includes bibliographical references. ; Thesis (M.S.) University of Missouri-Columbia 2005. ; Dissertations, Academic -- University of Missouri--Columbia -- Electrical engineering. ; A major challenge in video wireless communication is that the channel is time-varying and error-prone. The lost video packet and the packet received with errors, due to the error-prone wireless network, will cause signal distortion in the decoded video frame. More importantly, the decoding error introduced in one frame will propagate to its subsequent frames along the motion prediction path. This type of video distortion caused by transmission errors is called transmission distortion.In this work, we develop a model for transmission distortion by which encoder is able to estimate the average transmission distortion at the decoder. Our extensive simulation results demonstrate that the model is accurate and robust. In addition, it has very low computational complexity. This type of transmission distortion model has important applications in resource allocation and performance control in wireless video communication