Digital Processing Medal
Katie Cornog
Consultant, Applied Video Research

 

The Digital Processing Medal, established in 2012, honors the recipient by recognizing significant technical achievements related to the development of digital processing of content for motion picture, television, games or other related media.
 

The 2020 Digital Processing Medal is awarded to Katie Cornog, in recognition of her role in creating a wide range of digital signal processing methods at the Office of the CTO of Avid Technology, Inc.. Her contributions include scene change detection algorithms, motion adaptive deinterlacing, extraction of 3D information from video, polyphase filter design and machine learning techniques for image resizing, slow motion and video retiming based on motion analysis, optimization for video compression rate control, digital watermarking, splicing of compressed bitstreams. Cornog was also instrumental in the development of the DNxHD master quality codec optimized for PC based non-linear production that was standardized as SMPTE ST 2019, also known as VC-3.
 

During her career Katie Cornog has specialized in signal, image and video processing, computer vision and machine learning. She has focussed on algorithm design and translating academic research into applications for industry. She earned a BS in Engineering from Brown University and a MSEE in Computer Science and Electrical Engineering from M.I.T. From 1993 - 2011 she worked in the Office of the CTO at Avid Technology, Inc. Her work there resulted in being named an inventor on 17 patents in areas of video compression, editing, motion analysis, watermarking and stereo. She also instituted an innovation program to encourage other engineers to invent. Cornog represented Avid on the MPEG committee and in SMPTE standards activities. She won the SMPTE Journal Award in 1997. She was made a SMPTE Fellow in 1999. Following Avid, Cornog founded a consulting practice through which she has applied her expertise to develop perceptually-optimized video compression, automate 3D deconvolution for microscopy, classify heart arrhythmia signals, and quantify structural lung disease in newborns. She is also an accomplished painter, exhibiting her work in juried shows throughout New England, and selling her work internationally.

Digital Processing Medal
Katie Cornog
Consultant, Applied Video Research

 

The Digital Processing Medal, established in 2012, honors the recipient by recognizing significant technical achievements related to the development of digital processing of content for motion picture, television, games or other related media.
 

The 2020 Digital Processing Medal is awarded to Katie Cornog, in recognition of her role in creating a wide range of digital signal processing methods at the Office of the CTO of Avid Technology, Inc.. Her contributions include scene change detection algorithms, motion adaptive deinterlacing, extraction of 3D information from video, polyphase filter design and machine learning techniques for image resizing, slow motion and video retiming based on motion analysis, optimization for video compression rate control, digital watermarking, splicing of compressed bitstreams. Cornog was also instrumental in the development of the DNxHD master quality codec optimized for PC based non-linear production that was standardized as SMPTE ST 2019, also known as VC-3.
 

During her career Katie Cornog has specialized in signal, image and video processing, computer vision and machine learning. She has focussed on algorithm design and translating academic research into applications for industry. She earned a BS in Engineering from Brown University and a MSEE in Computer Science and Electrical Engineering from M.I.T. From 1993 - 2011 she worked in the Office of the CTO at Avid Technology, Inc. Her work there resulted in being named an inventor on 17 patents in areas of video compression, editing, motion analysis, watermarking and stereo. She also instituted an innovation program to encourage other engineers to invent. Cornog represented Avid on the MPEG committee and in SMPTE standards activities. She won the SMPTE Journal Award in 1997. She was made a SMPTE Fellow in 1999. Following Avid, Cornog founded a consulting practice through which she has applied her expertise to develop perceptually-optimized video compression, automate 3D deconvolution for microscopy, classify heart arrhythmia signals, and quantify structural lung disease in newborns. She is also an accomplished painter, exhibiting her work in juried shows throughout New England, and selling her work internationally.

Digital Processing Medal
Katie Cornog
Consultant, Applied Video Research

 

The Digital Processing Medal, established in 2012, honors the recipient by recognizing significant technical achievements related to the development of digital processing of content for motion picture, television, games or other related media.
 

The 2020 Digital Processing Medal is awarded to Katie Cornog, in recognition of her role in creating a wide range of digital signal processing methods at the Office of the CTO of Avid Technology, Inc.. Her contributions include scene change detection algorithms, motion adaptive deinterlacing, extraction of 3D information from video, polyphase filter design and machine learning techniques for image resizing, slow motion and video retiming based on motion analysis, optimization for video compression rate control, digital watermarking, splicing of compressed bitstreams. Cornog was also instrumental in the development of the DNxHD master quality codec optimized for PC based non-linear production that was standardized as SMPTE ST 2019, also known as VC-3.
 

During her career Katie Cornog has specialized in signal, image and video processing, computer vision and machine learning. She has focussed on algorithm design and translating academic research into applications for industry. She earned a BS in Engineering from Brown University and a MSEE in Computer Science and Electrical Engineering from M.I.T. From 1993 - 2011 she worked in the Office of the CTO at Avid Technology, Inc. Her work there resulted in being named an inventor on 17 patents in areas of video compression, editing, motion analysis, watermarking and stereo. She also instituted an innovation program to encourage other engineers to invent. Cornog represented Avid on the MPEG committee and in SMPTE standards activities. She won the SMPTE Journal Award in 1997. She was made a SMPTE Fellow in 1999. Following Avid, Cornog founded a consulting practice through which she has applied her expertise to develop perceptually-optimized video compression, automate 3D deconvolution for microscopy, classify heart arrhythmia signals, and quantify structural lung disease in newborns. She is also an accomplished painter, exhibiting her work in juried shows throughout New England, and selling her work internationally.

Digital Processing Medal
Katie Cornog
Consultant, Applied Video Research

 

The Digital Processing Medal, established in 2012, honors the recipient by recognizing significant technical achievements related to the development of digital processing of content for motion picture, television, games or other related media.
 

The 2020 Digital Processing Medal is awarded to Katie Cornog, in recognition of her role in creating a wide range of digital signal processing methods at the Office of the CTO of Avid Technology, Inc.. Her contributions include scene change detection algorithms, motion adaptive deinterlacing, extraction of 3D information from video, polyphase filter design and machine learning techniques for image resizing, slow motion and video retiming based on motion analysis, optimization for video compression rate control, digital watermarking, splicing of compressed bitstreams. Cornog was also instrumental in the development of the DNxHD master quality codec optimized for PC based non-linear production that was standardized as SMPTE ST 2019, also known as VC-3.
 

During her career Katie Cornog has specialized in signal, image and video processing, computer vision and machine learning. She has focussed on algorithm design and translating academic research into applications for industry. She earned a BS in Engineering from Brown University and a MSEE in Computer Science and Electrical Engineering from M.I.T. From 1993 - 2011 she worked in the Office of the CTO at Avid Technology, Inc. Her work there resulted in being named an inventor on 17 patents in areas of video compression, editing, motion analysis, watermarking and stereo. She also instituted an innovation program to encourage other engineers to invent. Cornog represented Avid on the MPEG committee and in SMPTE standards activities. She won the SMPTE Journal Award in 1997. She was made a SMPTE Fellow in 1999. Following Avid, Cornog founded a consulting practice through which she has applied her expertise to develop perceptually-optimized video compression, automate 3D deconvolution for microscopy, classify heart arrhythmia signals, and quantify structural lung disease in newborns. She is also an accomplished painter, exhibiting her work in juried shows throughout New England, and selling her work internationally.

Digital Processing Medal
Katie Cornog
Consultant, Applied Video Research

 

The Digital Processing Medal, established in 2012, honors the recipient by recognizing significant technical achievements related to the development of digital processing of content for motion picture, television, games or other related media.
 

The 2020 Digital Processing Medal is awarded to Katie Cornog, in recognition of her role in creating a wide range of digital signal processing methods at the Office of the CTO of Avid Technology, Inc.. Her contributions include scene change detection algorithms, motion adaptive deinterlacing, extraction of 3D information from video, polyphase filter design and machine learning techniques for image resizing, slow motion and video retiming based on motion analysis, optimization for video compression rate control, digital watermarking, splicing of compressed bitstreams. Cornog was also instrumental in the development of the DNxHD master quality codec optimized for PC based non-linear production that was standardized as SMPTE ST 2019, also known as VC-3.
 

During her career Katie Cornog has specialized in signal, image and video processing, computer vision and machine learning. She has focussed on algorithm design and translating academic research into applications for industry. She earned a BS in Engineering from Brown University and a MSEE in Computer Science and Electrical Engineering from M.I.T. From 1993 - 2011 she worked in the Office of the CTO at Avid Technology, Inc. Her work there resulted in being named an inventor on 17 patents in areas of video compression, editing, motion analysis, watermarking and stereo. She also instituted an innovation program to encourage other engineers to invent. Cornog represented Avid on the MPEG committee and in SMPTE standards activities. She won the SMPTE Journal Award in 1997. She was made a SMPTE Fellow in 1999. Following Avid, Cornog founded a consulting practice through which she has applied her expertise to develop perceptually-optimized video compression, automate 3D deconvolution for microscopy, classify heart arrhythmia signals, and quantify structural lung disease in newborns. She is also an accomplished painter, exhibiting her work in juried shows throughout New England, and selling her work internationally.