Scalable semantic 3D mapping of coral reefs with deep learning [PDF]
Methods in Ecology and Evolution, 2023 Coral reefs are among the most diverse ecosystems on our planet, and essential to the livelihood of hundreds of millions of people who depend on them for food security, income from tourism and coastal protection.
Jonathan Sauder +3 more
semanticscholar +1 more source
Retracted: Sports Auxiliary Training Based on Computer Digital 3D Video Image Processing
Computational Intelligence and Neuroscience, 2023 [This retracts the article DOI: 10.1155/2022/2105790.].
Computational Intelligence and Neuroscience
semanticscholar +1 more source
Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations [PDF]
Int. J. Robotics Res., 2023 Ultrasound (US) imaging is widely used for biometric measurement and diagnosis of internal organs due to the advantages of being real-time and radiation-free.
Zhongliang Jiang +5 more
semanticscholar +1 more source
Retracted: Intelligent Network Teaching of Product Design Specialty Based on Video Image Processing
Applied Bionics and Biomechanics, 2023 [This retracts the article DOI: 10.1155/2022/6448995.].
Applied Bionics and Biomechanics
semanticscholar +1 more source
Newborn Time - improved newborn care based on video and artificial intelligence - study protocol
BMC Digital Health, 2023 Approximately 3-8% of all newborns do not breathe spontaneously at birth, and require time critical resuscitation. Resuscitation guidelines are mostly based on best practice, and more research on newborn resucitation is highly sought for.
K. Engan +9 more
semanticscholar +1 more source
Error reduction through post processing for wireless capsule endoscope video
EURASIP Journal on Image and Video Processing, 2020 The wireless capsule endoscope (WCE) is a pill-sized device taking images, which are transmitting to an on-body receiver, while traveling through the digestive system.
Pål Anders Floor +3 more
semanticscholar +1 more source
, 2021 Layer decomposition to separate an input image into base and detail layers has been steadily used for image restoration. Existing residual networks based on an additive model require residual layers with a small output range for fast convergence and ...
Son, Chang-Hwan
core +1 more source
Enhancing HDR video compression through CNN-based effective bit depth adaptation [PDF]
, 2022 It is well known that high dynamic range (HDR) video can provide more immersive visual experiences compared to conventional standard dynamic range content.
Bull, David +6 more
core +1 more source
ViSTRA3:Video coding with deep parameter adaptation and post processing [PDF]
, 2021 This paper presents a deep learning-based video compression framework (ViSTRA3), which has been employed to generate compression results for the ISCAS 2022 Grand Challenge on Neural Network-based Video Coding.
Bull, David +4 more
core +2 more sources
A Comprehensive Research on Video Imaging Techniques
International Journal of Innovative Technology and Exploring Engineering, 2019 In today’s world, Video imaging techniques are extremely important due to its manifold advantages as they contribute extensively to connectivity of people from one part of the world to another.
F. Mahammad +6 more
semanticscholar +1 more source