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04/26/2022
Estimating the Resize Parameter in End-to-end Learned Image Compression
We describe a search-free resizing framework that can further improve th...
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05/20/2021
Convolutional Block Design for Learned Fractional Downsampling
The layers of convolutional neural networks (CNNs) can be used to alter ...
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01/30/2021
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models
Video and image quality assessment has long been projected as a regressi...
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07/03/2020
Perceptually Optimizing Deep Image Compression
Mean squared error (MSE) and ℓ_p norms have largely dominated the measur...
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02/25/2020
A Comparative Evaluation of Temporal Pooling Methods for Blind Video Quality Assessment
Many objective video quality assessment (VQA) algorithms include a key s...
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10/19/2019
ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
The use of ℓ_p(p=1,2) norms has largely dominated the measurement of los...
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10/19/2019