His primary areas of investigation include Artificial intelligence, Computer vision, Computer network, Multiple description coding and Transform coding. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Falling and Pattern recognition. Yao Wang combines subjects such as Mesh generation and Interpolation with his study of Computer vision.
His Computer network study incorporates themes from Wireless ad hoc network, Video quality, Communication channel and Wireless network. Yao Wang combines subjects such as Encoder and Algorithm, Data compression, Motion compensation with his study of Transform coding. The concepts of his Data compression study are interwoven with issues in Quality of service and Real-time computing.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Computer network. His work in Segmentation, Image segmentation, Pixel, Cluster analysis and Image processing are all subfields of Artificial intelligence research. His Motion compensation, Wavelet transform, Data compression, Motion estimation and Quantization investigations are all subjects of Computer vision research.
As a member of one scientific family, Yao Wang mostly works in the field of Algorithm, focusing on Encoder and, on occasion, Decoding methods. His work carried out in the field of Computer network brings together such families of science as Wireless network, Video quality and Communication channel. His Wireless network research focuses on Real-time computing and how it connects with Scalable Video Coding.
His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Segmentation and Deep learning. He integrates Artificial intelligence with Traumatic brain injury in his research. In his study, Basis function and Video processing is inextricably linked to Cluster analysis, which falls within the broad field of Pattern recognition.
His Computer vision study frequently draws connections between related disciplines such as Benchmark. His work in Segmentation tackles topics such as Ultrasound which are related to areas like Cut. His study ties his expertise on Algorithm together with the subject of Pixel.
His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Virtual reality and Catalysis. His biological study spans a wide range of topics, including Machine learning and Encoder. His research in Pattern recognition intersects with topics in Pixel and Facial recognition system.
The Computer vision study combines topics in areas such as Adjacency matrix, Gaussian process and Benchmark. His Virtual reality research includes elements of Augmented reality, Real-time computing and Motion. His Real-time computing study combines topics in areas such as Wireless and Bandwidth.
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Error control and concealment for video communication: a review
Yao Wang;Qin-Fan Zhu.
Proceedings of the IEEE (1998)
Video Processing and Communications
Yao Wang;Ya-quin Zhang;Joern Ostermann.
Error resilient video coding techniques
Yao Wang;S. Wenger;Jiantao Wen;A.K. Katsaggelos.
IEEE Signal Processing Magazine (2000)
Multimedia content analysis-using both audio and visual clues
Yao Wang;Zhu Liu;Jin-Cheng Huang.
IEEE Signal Processing Magazine (2000)
Multiple Description Coding for Video Delivery
Yao Wang;A.R. Reibman;Shunan Lin.
Proceedings of the IEEE (2005)
Multiple description coding using pairwise correlating transforms
Yao Wang;M.T. Orchard;V. Vaishampayan;A.R. Reibman.
IEEE Transactions on Image Processing (2001)
Maximally smooth image recovery in transform coding
Y. Wang;Q.-F. Zhu;L. Shaw.
IEEE Transactions on Communications (1993)
Video transport over ad hoc networks: multistream coding with multipath transport
Shiwen Mao;Shunan Lin;S.S. Panwar;Yao Wang.
IEEE Journal on Selected Areas in Communications (2003)
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Zhu Liu;Yao Wang;Tsuhan Chen.
multimedia signal processing (1998)
MPEG-4 rate control for multiple video objects
A. Vetro;Huifang Sun;Yao Wang.
IEEE Transactions on Circuits and Systems for Video Technology (1999)
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