2023 - Research.com Computer Science in United Kingdom Leader Award
2013 - ACM Fellow For contributions to computer vision, image retrieval, and digital watermarking.
2011 - ACM Distinguished Member
2006 - IEEE Fellow For contributions to digital watermarking.
1996 - IAPR P. Zamperoni Award
His primary areas of investigation include Artificial intelligence, Digital watermarking, Computer vision, Watermark and Image processing. His Artificial intelligence study combines topics in areas such as Algorithm and Machine learning. His Digital watermarking research is multidisciplinary, relying on both Computer security, Multimedia, Steganography and Fidelity.
Ingemar J. Cox interconnects Dither and Copy protection in the investigation of issues within Multimedia. His Computer vision research includes elements of Autonomous system, Mobile robot navigation and Autonomous robot, Mobile robot. His Watermark research incorporates themes from Lossy compression, Spread spectrum, Signal, Data compression and Distortion.
His scientific interests lie mostly in Artificial intelligence, Digital watermarking, Computer vision, Watermark and Information retrieval. His Artificial intelligence research includes themes of Machine learning and Pattern recognition. His study on Digital watermarking also encompasses disciplines like
His primary area of study in Computer vision is in the field of Rotation. Ingemar J. Cox has included themes like Signal, Coding, Robustness and Discrete cosine transform in his Watermark study. His study focuses on the intersection of Information retrieval and fields such as Relevance feedback with connections in the field of Bayesian probability.
Ingemar J. Cox spends much of his time researching Artificial intelligence, Machine learning, Action, Social media and Information retrieval. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition. His biological study spans a wide range of topics, including Key, Task and Online search.
His study explores the link between Information retrieval and topics such as Electronic media that cross with problems in Event. His study looks at the relationship between Identifier and fields such as Upload, as well as how they intersect with chemical problems. His work carried out in the field of Feature vector brings together such families of science as Nearest neighbor search, Selection and Computer vision.
His primary scientific interests are in Artificial intelligence, Machine learning, Online search, Transfer of learning and News media. He studies Artificial intelligence, namely Supervised learning. The various areas that he examines in his Machine learning study include Inference and Data mining.
His studies deal with areas such as Overfitting, Identification, Feature vector, Spurious relationship and Feature selection as well as Inference. The concepts of his Data mining study are interwoven with issues in Quality, Learning to rank, Key and Semantic interpretation. His Task research incorporates elements of Binary classification, Classifier, Set and Kernel.
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.
Secure spread spectrum watermarking for multimedia
I.J. Cox;J. Kilian;F.T. Leighton;T. Shamoon.
IEEE Transactions on Image Processing (1997)
Ingemar Cox;Matthew L. Miller;Jeffery A. Bloom.
Digital Watermarking and Steganography
Ingemar Cox;Matthew Miller;Jeffrey Bloom;Jessica Fridrich.
Rotation, scale, and translation resilient watermarking for images
C.-Y. Lin;M. Wu;J.A. Bloom;I.J. Cox.
IEEE Transactions on Image Processing (2001)
The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments
I.J. Cox;M.L. Miller;T.P. Minka;T.V. Papathomas.
IEEE Transactions on Image Processing (2000)
An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking
I.J. Cox;S.L. Hingorani.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1996)
Blanche-an experiment in guidance and navigation of an autonomous robot vehicle
international conference on robotics and automation (1991)
A maximum-flow formulation of the N-camera stereo correspondence problem
S. Roy;I.J. Cox.
international conference on computer vision (1998)
Watermarking as communications with side information
I.J. Cox;M.L. Miller;A.L. McKellips.
Proceedings of the IEEE (1999)
A Maximum Likelihood Stereo Algorithm
Ingemar J. Cox;Sunita L. Hingorani;Satish B. Rao;Bruce M. Maggs.
Computer Vision and Image Understanding (1996)
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