Results 21 to 30 of about 4,876 (175)

Influence of Video-Preprocessing on Deep Learning-based Surgical Skill Assessment

open access: yesCurrent Directions in Biomedical Engineering, 2023
Automatic surgical skill assessment in robotic surgery based on video data is essential in facilitating faster learning curves for trainees while relieving expert surgeons from the time- and cost-intensive feedback process.
Wolf Georg   +6 more
doaj   +1 more source

Multi-Scale Memory-Based Video Deblurring

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Accepted by CVPR ...
Ji, Bo, Yao, Angela
openaire   +2 more sources

SDAN-MD: Supervised dual attention network for multi-stage motion deblurring in frontal-viewing vehicle-camera images

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Motion blur in images usually distorts the information of objects, thus degrading the performance of semantic segmentation. However, there is no previous research on improving the segmentation performance by restoring the frontal-viewing vehicle-camera ...
Seong In Jeong   +4 more
doaj   +1 more source

Efficient Video Deblurring Guided by Motion Magnitude

open access: yes, 2022
Video deblurring is a highly under-constrained problem due to the spatially and temporally varying blur. An intuitive approach for video deblurring includes two steps: a) detecting the blurry region in the current frame; b) utilizing the information from clear regions in adjacent frames for current frame deblurring. To realize this process, our idea is
Wang, Yusheng   +6 more
openaire   +2 more sources

Real‐Time Video Deblurring via Lightweight Motion Compensation

open access: yesComputer Graphics Forum, 2022
AbstractWhile motion compensation greatly improves video deblurring quality, separately performing motion compensation and video deblurring demands huge computational overhead. This paper proposes a real‐time video deblurring framework consisting of a lightweight multi‐task unit that supports both video deblurring and motion compensation in an ...
Hyeongseok Son   +3 more
openaire   +2 more sources

Coal Mine Belt Conveyor Foreign Objects Recognition Method of Improved YOLOv5 Algorithm with Defogging and Deblurring

open access: yesEnergies, 2022
The belt conveyor is the main equipment for underground coal transportation. Its coal flow is mixed with large coal, gangue, anchor rods, wooden strips, and other foreign objects, which easily causes failure of the conveyor belt, such as scratching ...
Qinghua Mao   +3 more
doaj   +1 more source

A Video Deblurring Algorithm Based on Motion Vector and An Encorder-Decoder Network

open access: yesIEEE Access, 2019
Camera shakes cause video motion blur. Video deblurring has been studied for years, and however, there are still unresolved problems, such as video frame alignment, frame selection, and frame ambiguity evaluation.
Shanqing Zhang   +5 more
doaj   +1 more source

Real-time image acquisition and deblurring for underwater gravel extraction by smartphone

open access: yesInternational Journal of Automation and Smart Technology, 2014
Gravel size distribution is an important aspect of stream investigation. Using water photography to determine such distribution is a simple and cost-effective approach for gathering instream gravel information.
Ming-Fu Chen   +4 more
doaj   +1 more source

Abnormal event detection model using an improved ResNet101 in context aware surveillance system

open access: yesCognitive Computation and Systems, 2023
Surveillance system plays a significant role for achieving security monitoring in the place of crowd areas. Offline monitoring of these crowd activity is quite challenging because it requires huge number of human resources for attaining efficient ...
Rakesh Kalshetty, Asma Parveen
doaj   +1 more source

Hand-Held Video Deblurring Via Efficient Fourier Aggregation [PDF]

open access: yesIEEE Transactions on Computational Imaging, 2015
Videos captured with hand-held cameras often suffer from a significant amount of blur, mainly caused by the inevitable natural tremor of the photographer's hand. In this work, we present an algorithm that removes blur due to camera shake by combining information in the Fourier domain from nearby frames in a video.
Delbracio, Mauricio, Sapiro, Guillermo
openaire   +2 more sources

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