Results 21 to 30 of about 1,086 (97)

Enhancing VMAF through New Feature Integration and Model Combination [PDF]

open access: yes, 2021
VMAF is a machine learning based video quality assessment method, originally designed for streaming applications, which combines multiple quality metrics and video features through SVM regression.
Bampis, Christos   +5 more
core   +3 more sources

FloLPIPS:A bespoke video quality metric for frame interpolation [PDF]

open access: yes, 2023
Video frame interpolation (VFI) serves as a useful tool for many video processing applications. Recently, it has also been applied in the video compression domain for enhancing both conventional video codecs and learning-based compression architectures ...
Bull, David   +2 more
core   +1 more source

Impaired Emotional Mirroring in Parkinson’s Disease—A Study on Brain Activation during Processing of Facial Expressions

open access: yesFrontiers in Neurology, 2017
Background Affective dysfunctions are common in patients with Parkinson’s disease, but the underlying neurobiological deviations have rarely been examined.
A. Pohl   +7 more
semanticscholar   +1 more source

Comparative Brain Imaging Reveals Analogous and Divergent Patterns of Species and Face Sensitivity in Humans and Dogs

open access: yesJournal of Neuroscience, 2020
Conspecific-preference in social perception is evident for multiple sensory modalities and in many species. There is also a dedicated neural network for face processing in primates. However, the evolutionary origin and the relative role of neural species
N. Bunford   +8 more
semanticscholar   +1 more source

S$^2$ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

open access: yes, 2023
Fully-supervised polyp segmentation has accomplished significant triumphs over the years in advancing the early diagnosis of colorectal cancer. However, label-efficient solutions from weak supervision like scribbles are rarely explored yet primarily ...
Islam, Mobarakol   +4 more
core  

A CNN-based Post-Processor for Perceptually-Optimized Immersive Media Compression [PDF]

open access: yes, 2022
In recent years, resolution adaptation based on deep neural networks has enabled significant performance gains for conventional (2D) video codecs. This paper investigates the effectiveness of spatial resolution resampling in the context of immersive ...
Bull, David   +2 more
core   +5 more sources

Reading and Myopia: Contrast Polarity Matters

open access: yesScientific Reports, 2018
In myopia the eye grows too long, generating poorly focused retinal images when people try to look at a distance. Myopia is tightly linked to the educational status and is on the rise worldwide.
A. C. Alemán, Min Wang, F. Schaeffel
semanticscholar   +1 more source

Cascade Decoders-Based Autoencoders for Image Reconstruction

open access: yes, 2021
Autoencoders are composed of coding and decoding units, hence they hold the inherent potential of high-performance data compression and signal compressed sensing.
Galayko, Dimitri   +3 more
core  

Making Video Quality Assessment Models Robust to Bit Depth

open access: yes, 2023
We introduce a novel feature set, which we call HDRMAX features, that when included into Video Quality Assessment (VQA) algorithms designed for Standard Dynamic Range (SDR) videos, sensitizes them to distortions of High Dynamic Range (HDR) videos that ...
Bovik, Alan C.   +5 more
core   +1 more source

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

open access: yes, 2023
Ejection fraction (EF) is a key indicator of cardiac function, allowing identification of patients prone to heart dysfunctions such as heart failure. EF is estimated from cardiac ultrasound videos known as echocardiograms (echo) by manually tracing the ...
Abolmaesumi, Purang   +3 more
core  

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