Chun-Shien Lu focuses on Artificial intelligence, Digital watermarking, Watermark, Computer vision and Theoretical computer science. Artificial intelligence is closely attributed to Pattern recognition in his study. His Digital watermarking research integrates issues from Computer security, Authentication, Quantization and Steganography.
His studies deal with areas such as Digital image processing and Digital signature as well as Authentication. The study incorporates disciplines such as Compressed sensing and Video encoding in addition to Computer vision. In his work, Algorithm is strongly intertwined with Locality-sensitive hashing, which is a subfield of Theoretical computer science.
Artificial intelligence, Digital watermarking, Computer vision, Algorithm and Compressed sensing are his primary areas of study. His study connects Pattern recognition and Artificial intelligence. His Digital watermarking research includes themes of Watermark, Image processing, Robustness and Computer security.
His Watermark research is multidisciplinary, relying on both Hash function, Theoretical computer science and Data mining. The concepts of his Algorithm study are interwoven with issues in Deep learning and Solver. Chun-Shien Lu works mostly in the field of Compressed sensing, limiting it down to concerns involving Convex optimization and, occasionally, Convex function.
Chun-Shien Lu mainly focuses on Code, Algorithm, Compressed sensing, Artificial intelligence and Key. He has included themes like Computer hardware, Computer graphics and Grayscale in his Code study. In his study, Current, Euclidean geometry and Matching pursuit is inextricably linked to Solver, which falls within the broad field of Algorithm.
His Compressed sensing research integrates issues from Greedy algorithm and Nyquist–Shannon sampling theorem. His Artificial intelligence research focuses on Deep learning, Convolutional neural network, Artificial neural network and Convolution. His Artificial neural network study incorporates themes from Noise, Computer vision and Training set.
His scientific interests lie mostly in Semantics, Information retrieval, Image, Obfuscation and Net. He integrates Semantics and Perceptual similarity in his studies.
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.
Multipurpose watermarking for image authentication and protection
Chun-Shien Lu;H.-Y.M. Liao.
IEEE Transactions on Image Processing (2001)
Structural digital signature for image authentication: an incidental distortion resistant scheme
Chun-Shien Lu;H.-Y.M. Liao.
IEEE Transactions on Multimedia (2003)
Cocktail watermarking for digital image protection
Chun-Shien Lu;Shih-Kun Huang;Chwen-Jye Sze;Hong-Yuan Mark Liao.
IEEE Transactions on Multimedia (2000)
Unsupervised texture segmentation via wavelet transform
Chun-Shien Lu;Pau-Choo Chung;Chih F. Chen.
Pattern Recognition (1997)
Distributed compressive video sensing
Li-Wei Kang;Chun-Shien Lu.
international conference on acoustics, speech, and signal processing (2009)
Multimedia Security: Steganography and Digital Watermarking Techniques for Protection of Intellectual Property
Chun-Shien Lu.
(2004)
Image Feature Extraction in Encrypted Domain With Privacy-Preserving SIFT
Chao-Yung Hsu;Chun-Shien Lu;Soo-Chang Pei.
IEEE Transactions on Image Processing (2012)
Mean-quantization-based fragile watermarking for image authentication
Gwo-Jong Yu;Chun-Shien Lu;Hong-Yuan Mark Liao.
Optical Engineering (2001)
Fragile watermarking for authenticating 3-D polygonal meshes
H.-Y.S. Lin;H.-Y.M. Liao;Chun-Shien Lu;Ja-Chen Lin.
IEEE Transactions on Multimedia (2005)
Mobile Sensor Network Resilient Against Node Replication Attacks
Chia-Mu Yu;Chun-Shien Lu;Sy-Yen Kuo.
sensor mesh and ad hoc communications and networks (2008)
Profile was last updated on December 6th, 2021.
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