H
Haiyan Luo
Researcher at University of Nebraska–Lincoln
Publications - 27
Citations - 508
Haiyan Luo is an academic researcher from University of Nebraska–Lincoln. The author has contributed to research in topics: Video quality & Network packet. The author has an hindex of 12, co-authored 26 publications receiving 493 citations. Previous affiliations of Haiyan Luo include Cisco Systems, Inc. & Chinese Academy of Sciences.
Papers
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Quality-driven cross-layer optimized video delivery over LTE
TL;DR: A new QoS-aware LTE OFDMA scheduling algorithm for wireless real-time video delivery over the downlink of LTE cellular networks to achieve the best user-perceived video quality under the given application delay constraint is presented.
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Video Surveillance Over Wireless Sensor and Actuator Networks Using Active Cameras
TL;DR: A framework for real-time video surveillance with pan-tilt cameras where the video coding and transmission as well as the automated camera control are jointly optimized by taking into account the surveillance video quality requirement and the resource constraint of WSANs is proposed.
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A remote markerless human gait tracking for e-healthcare based on content-aware wireless multimedia communications
TL;DR: A new accurate and cost-effective e-healthcare system for fast human gait tracking over wireless networks, where gait data can be collected by using advanced video content analysis techniques with low-cost cameras in a general clinic environment is proposed.
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A Cross-Layer Design for the Performance Improvement of Real-Time Video Transmission of Secondary Users Over Cognitive Radio Networks
Haiyan Luo,Song Ci,Dalei Wu +2 more
TL;DR: This paper proposes a quality-driven cross-layer optimized system to maximize the expected user-perceived video quality at the receiver end under the constraint of packet delay bound, formulated into a MIN-MAX problem, and solved by using dynamic programming.
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End-to-end optimized TCP-friendly rate control for real-time video streaming over wireless multi-hop networks
TL;DR: This paper proposes a new approach, integrating TFRC with the application layer and the physical layer to form a holistic design for real-time video streaming over wireless multi-hop networks, which can achieve the best user-perceived video quality.