Guy Cote focuses on Computer vision, Artificial intelligence, Pixel, Image sensor and Image processing. His Computer vision research is multidisciplinary, incorporating perspectives in Encoder and Encoding. His Artificial intelligence research is multidisciplinary, incorporating elements of Digital video and Sample.
His Pixel research includes elements of Queue, Tone mapping, Downstream and Image signal. Guy Cote combines subjects such as Interface, Process, Real-time computing and Camera interface with his study of Image sensor. In his work, Frame is strongly intertwined with Computer hardware, which is a subfield of Image processing.
His primary scientific interests are in Artificial intelligence, Computer vision, Pixel, Computer hardware and Image. His primary area of study in Artificial intelligence is in the field of Color image. His research on Computer vision often connects related areas such as Computer graphics.
His Pixel research also works with subjects such as
His primary areas of investigation include Artificial intelligence, Computer vision, Pixel, Video processing and Pipeline. His study brings together the fields of Dither and Artificial intelligence. In general Computer vision study, his work on Rendering often relates to the realm of Metadata, thereby connecting several areas of interest.
The Pixel study combines topics in areas such as Liquid-crystal display, Luminance, Compensation and White point. His research in Video processing intersects with topics in High dynamic range, Tone mapping, Gamut and Display device. His Pipeline research integrates issues from Value, Image and Computer hardware.
Guy Cote spends much of his time researching Artificial intelligence, Computer vision, Video processing, Video capture and Computer graphics. His research in the fields of Motion vector and Pixel overlaps with other disciplines such as Block. Guy Cote performs multidisciplinary studies into Computer vision and ENCODE in his work.
His Video processing study which covers Rendering that intersects with Adaptive video and Decoding methods. His study explores the link between Computer graphics and topics such as Gamut that cross with problems in Display device, High dynamic range, Tone mapping and Pipeline. His work in Transcoding covers topics such as Encoder which are related to areas like Computer hardware.
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Capturing and rendering high dynamic range images
Johnson Garrettt M;Cote Guy;Orr Iv James Edmund.
Dual image sensor image processing system and method
Cote Guy;Frederiksen Jeffrey E;Bratt Joseph P;Go Shun Wai.
System and method for detecting and correcting defective pixels in an image sensor
Guy Cote;Jeffrey E. Frederiksen.
Method and apparatus for video deinterlacing and format conversion
Lowell L. Winger;Yunwei Jia;Aaron G. Wells;Elliot N. Linzer.
Method for improving rate-distortion performance of a video compression system through parallel coefficient cancellation in the transform
Lowell L. Winger;Pavel Novotny;Guy Cote.
Programmable quantization dead zone and threshold for standard-based H.264 and/or VC1 video encoding
Guy Cote;Elliot N. Linzer;Lowell L. Winger.
Flash synchronization using image sensor interface timing signal
Cote Guy;Frederiksen Jeffrey E.
Adaptive reference picture selection based on inter-picture motion measurement
Simon Booth;Guy Cote.
Method and apparatus for MPEG-2 to H.264 video transcoding
Lowell L. Winger;Guy Cote.
Systems and method for reducing fixed pattern noise in image data
Guy Cote;D. Amnon Silverstein;Suk Hwan Lim;Sheng Lin.
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