2000 - IEEE Fellow For contributions to the theory and applications of visual signal processing and communications.
King Ngi Ngan focuses on Artificial intelligence, Computer vision, Pattern recognition, Image segmentation and Image processing. Feature extraction, Data compression, Image quality, Discrete cosine transform and Transform coding are the primary areas of interest in his Artificial intelligence study. His Computer vision study frequently draws connections between related disciplines such as Boundary.
His biological study spans a wide range of topics, including Macroblock, Object detection and Histogram, Image. His Image segmentation study combines topics from a wide range of disciplines, such as Facial recognition system, Similarity and Edge detection. His study looks at the intersection of Image processing and topics like Thresholding with Depth of field and Bilateral filter.
King Ngi Ngan spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Segmentation. Image segmentation, Image quality, Feature extraction, Image processing and Motion compensation are the subjects of his Artificial intelligence studies. His study in Image quality is interdisciplinary in nature, drawing from both Quantization and Metric.
Computer vision is often connected to Distortion in his work. His Pattern recognition research incorporates themes from Object detection, Image, Pascal and Feature. His Segmentation research is multidisciplinary, incorporating elements of Object and Pixel.
His primary areas of investigation include Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Feature. His Distortion research extends to Artificial intelligence, which is thematically connected. When carried out as part of a general Computer vision research project, his work on Retargeting, Pixel and Face is frequently linked to work in Visibility and Generative model, therefore connecting diverse disciplines of study.
His Pattern recognition research includes themes of Pascal, Cluster analysis and Standard test image. As part of one scientific family, King Ngi Ngan deals mainly with the area of Segmentation, narrowing it down to issues related to the Object, and often Visualization, Function and Contrast. His study looks at the relationship between Feature and fields such as Representation, as well as how they intersect with chemical problems.
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Image quality and Distortion. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Machine learning. Human visual system model, Discrete cosine transform, Video tracking, Quantization and Multiview Video Coding are the core of his Computer vision study.
His study on Discriminative model is often connected to Rank as part of broader study in Pattern recognition. His research integrates issues of Automatic image annotation, Digital image, Metric and Standard test image in his study of Image quality. His work carried out in the field of Distortion brings together such families of science as Retargeting, Motion estimation, Quarter-pixel motion, Random access and Sum of absolute differences.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Face segmentation using skin-color map in videophone applications
D. Chai;K.N. Ngan.
IEEE Transactions on Circuits and Systems for Video Technology (1999)
Automatic segmentation of moving objects for video object plane generation
T. Meier;K.N. Ngan.
IEEE Transactions on Circuits and Systems for Video Technology (1998)
Unsupervised extraction of visual attention objects in color images
J. Han;K.N. Ngan;Mingjing Li;Hong-Jiang Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (2006)
Video segmentation for content-based coding
T. Meier;K.N. Ngan.
IEEE Transactions on Circuits and Systems for Video Technology (1999)
Locating facial region of a head-and-shoulders color image
D. Chai;K.N. Ngan.
ieee international conference on automatic face and gesture recognition (1998)
Spatio-Temporal Just Noticeable Distortion Profile for Grey Scale Image/Video in DCT Domain
Zhenyu Wei;K.N. Ngan.
IEEE Transactions on Circuits and Systems for Video Technology (2009)
A Co-Saliency Model of Image Pairs
Hongliang Li;King Ngi Ngan.
IEEE Transactions on Image Processing (2011)
Admission control in IEEE 802.11e wireless LANs
Deyun Gao;Jianfei Cai;King Ngi Ngan.
IEEE Network (2005)
Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments
Songnan Li;Fan Zhang;Lin Ma;King Ngi Ngan.
IEEE Transactions on Multimedia (2011)
Recent advances in rate control for video coding
Zhenzhong Chen;King Ngi Ngan.
Signal Processing-image Communication (2007)
University of Electronic Science and Technology of China
Harbin Institute of Technology
Wuhan University
Monash University
Nanyang Technological University
University of Science and Technology of China
Northwestern Polytechnical University
ByteDance
Yonsei University
University of Washington
Profile was last updated on December 6th, 2021.
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