Todd Richard Goodall

Orcid: 0000-0001-7855-8133

According to our database1, Todd Richard Goodall authored at least 17 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Learning to compress videos without computing motion.
Signal Process. Image Commun., 2022

2021
Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality.
IEEE Trans. Image Process., 2021

A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Corrections to "Study of 3D Virtual Reality Picture Quality".
IEEE J. Sel. Top. Signal Process., 2020

Study of 3D Virtual Reality Picture Quality.
IEEE J. Sel. Top. Signal Process., 2020

The VIP Gallery for Video Processing Education.
CoRR, 2020

2019
DeepFovea: neural reconstruction for foveated rendering and video compression using learned statistics of natural videos.
ACM Trans. Graph., 2019

Detecting and Mapping Video Impairments.
IEEE Trans. Image Process., 2019

Deepfovea: neural reconstruction for foveated rendering and video compression using learned natural video statistics.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

2018
Artifact Detection Maps Learned using Shallow Convolutional Networks.
Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

Detecting Source Video Artifacts with Supervised Sparse Filters.
Proceedings of the 2018 Picture Coding Symposium, 2018

2017
Towards automated quality curation of video collections from a realistic perspective.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Tasking on Natural Statistics of Infrared Images.
IEEE Trans. Image Process., 2016

Blind Picture Upscaling Ratio Prediction.
IEEE Signal Process. Lett., 2016

Sampled efficient full-reference image quality assessment models.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Non-uniformity correction of IR images using natural scene statistics.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
No-reference task performance prediction on distorted LWIR images.
Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014


  Loading...