Ho, Po Yee. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 77-81). / Abstracts in English and Chinese. / Acknowledgements --- p.i / Abstract --- p.ii / 摘要 --- p.iii / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Background and Related Work --- p.4 / Chapter 2.1 --- Link/Path Capacity --- p.4 / Chapter 2.2 --- Unutilized Bandwidth --- p.5 / Chapter 2.3 --- Achievable Bandwidth --- p.5 / Chapter Chapter 3 --- Measurement Methodology --- p.7 / Chapter 3.1 --- PlanetLab Measurement --- p.8 / Chapter 3.2 --- FTP Measurement --- p.10 / Chapter Chapter 4 --- Analysis of Measurement Data --- p.12 / Chapter 4.1 --- Per-Flow Achievable Bandwidth --- p.13 / Chapter 4.2 --- Inter-Flow Correlation --- p.14 / Chapter 4.3 --- Intra-Flow Temporal Correlation --- p.16 / Chapter 4.4 --- Intra-Flow Bandwidth Variation --- p.18 / Chapter 4.5 --- Predictability of Bandwidth Properties --- p.22 / Chapter 4.6 --- Long-term Flow Properties --- p.26 / Chapter Chapter 5 --- A Mathematical Framework --- p.28 / Chapter 5.1 --- Bandwidth Variations --- p.28 / Chapter 5.2 --- Bandwidth Predictability --- p.31 / Chapter 5.3 --- Sensitivity Analysis --- p.34 / Chapter Chapter 6 --- Predictive Buffering Algorithm --- p.41 / Chapter 6.1 --- Related Work --- p.43 / Chapter 6.2 --- System Model --- p.44 / Chapter 6.3 --- Prediction Algorithm for Constant Bit-Rate Videos --- p.45 / Chapter 6.4 --- Prediction Algorithm for Variable Bit-Rate Videos --- p.46 / Chapter 6.5 --- Parameter Estimation --- p.47 / Chapter Chapter 7 --- Performance Evaluation --- p.49 / Chapter 7.1 --- Trace-Driven Simulation Setup --- p.49 / Chapter 7.2 --- Performance over CBR Videos --- p.50 / Chapter 7.2.1 --- Video Playback Performance --- p.51 / Chapter 7.2.2 --- Buffering Time --- p.57 / Chapter 7.3 --- Performance over VBR Videos --- p.61 / Chapter 7.3.1 --- Video Playback Performance --- p.62 / Chapter 7.3.2 --- Buffering Time --- p.66 / Chapter Chapter 8 --- Future Work --- p.69 / Chapter 8.1 --- Playback Rate Adaptation --- p.70 / Chapter 8.2 --- Sender Selection Algorithm --- p.71 / Chapter 8.3 --- Dynamic Flow Allocation --- p.72 / Chapter 8.4 --- Predictive Flow Allocation --- p.73 / Chapter 8.5 --- Challenge in P2P Applications --- p.74 / Chapter Chapter 9 --- Conclusion --- p.76 / Bibliography

Sun, Qifu. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (leaves 95-99). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.

Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 153-156).

Mobile devices are becoming more prevalent and complex. As a result, the wireless communication aspect of these devices is becoming increasingly significant. At the same time, video demands in terms of availability and quality are also on the uprise. High definition (HD) video is the standard of choice for meeting today's video demands. However, HD video is characterized by high data rates. Therefore, there is heightened interest in the 60-GHz spectrum as it is suitable for streaming uncompressed HD video. On the other hand, 802.11 wireless technology, compared to 60-GHz, is much more established and widely available and able to cater to a wide variety of devices. HD video compressed using H.264 can be wirelessly streamed via 802.11 wireless networks. However, such wireless networks are prone to packet losses, which result in degraded perceptual quality of video. It is thus important to perform error concealment in order to improve the visual quality of degraded video. Among the key techniques in performing error concealment on video compressed with H.264 is spatial motion vector recovery. This paper proposes a new spatial motion vector recovery technique (MI-WAM) that takes advantage of properly decoded motion vectors. MI-WAM and pre-existing MV recovery techniques are used to provide different corresponding macroblock candidates that compete for the best concealment of each lost macroblock in what will be referred to as competitive motion vector recovery (CMVR). / Graduation date: 2012

Graduation date: 1995

Adrian Segall. / Bibliography: p. 35. / "September 1978." / Supported by the Advanced Research Project Agency (monitored by ONR) under Contract no. N00014-75-C-1183

Adrian Segall, Moshe Sidi. / Bibliography: p. 695. / "May 1981." From: IEEE transactions on communications, Vol. COM-29, No. 5, May 1961. / U.S. Department of Defense Contract N00015-74-C-1183 Office of Naval Research Contract ONR/N00014-77-C-0532

Thesis (MSc)--University of Stellenbosch, 2006. / Bibliography. Also available via the Internet.

Thesis (Ph.D.)--University of Delaware, 2006. / Principal faculty advisor: Fouad Kiamilev, Dept. of Electrical and Computer Engineering. Includes bibliographical references.