Todd Goodall

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 9

Top Topics

Video Compression

Top Venues

IEEE J. Sel. Top. Signal Process.

IEEE Trans. Image Process.

Publications

Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik
Learning to compress videos without computing motion. Signal Process. Image Commun. 103 (2022)
Yize Jin, Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik
Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality. IEEE Trans. Image Process. 30 (2021)
Y. Jin, Todd Goodall, Anjul Patney, R. Webb, Alan C. Bovik
A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics. ICIP (2021)
Meixu Chen, Yize Jin, Todd Goodall, Xiangxu Yu, Alan Conrad Bovik
Corrections to "Study of 3D Virtual Reality Picture Quality". IEEE J. Sel. Top. Signal Process. 14 (2) (2020)
Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik
Learning to Compress Videos without Computing Motion. CoRR (2020)
Meixu Chen, Yize Jin, Todd Goodall, Xiangxu Yu, Alan Conrad Bovik
Study of 3D Virtual Reality Picture Quality. IEEE J. Sel. Top. Signal Process. 14 (1) (2020)
Todd Goodall, Alan C. Bovik
The VIP Gallery for Video Processing Education. CoRR (2020)
Anton S. Kaplanyan, Anton Sochenov, Thomas Leimkühler, Mikhail Okunev, Todd Goodall, Gizem Rufo
DeepFovea: neural reconstruction for foveated rendering and video compression using learned statistics of natural videos. ACM Trans. Graph. 38 (6) (2019)
Anton Kaplanyan, Anton Sochenov, Thomas Leimkühler, Mikhail Okunev, Todd Goodall, Gizem Rufo
Deepfovea: neural reconstruction for foveated rendering and video compression using learned natural video statistics. SIGGRAPH Talks (2019)