[HTML][HTML] Motion capture for sporting events based on graph convolutional neural networks and single target pose estimation algorithms

C Duan, B Hu, W Liu, J Song - Applied Sciences, 2023 - mdpi.com
Human pose estimation refers to accurately estimating the position of the human body from
a single RGB image and detecting the location of the body. It serves as the basis for several …

Automatic imagery Bank Cheque data extraction based on machine learning approaches: a comprehensive survey

N Thakur, D Ghai, S Kumar - Multimedia Tools and Applications, 2023 - Springer
Bank Cheques are used mainly for financial transactions due to which they are processed in
enormous amounts on daily basis around the globe. Often, Cheque execution time and …

A comprehensive study of automatic video summarization techniques

D Gupta, A Sharma - Artificial Intelligence Review, 2023 - Springer
Video summarization deals with the generation of a condensed version of the original video
by including meaningful frames or segments while eliminating redundant information. The …

Survey on video colorization: Concepts, methods and applications

L Stival, H Pedrini - Journal of Signal Processing Systems, 2023 - Springer
The process of colorizing involves creating or predicting information for images or videos.
While the current literature has produced relevant and high-quality results for image …

Super pixels transmission map-based object detection using deep neural network in UAV video

JED Sheela, PA Jansi Rani, MA Paul - The Imaging Science …, 2023 - Taylor & Francis
Object detection has become a very prominent subject for research in recent times. This
study's main goal is to suggest a technique for video saliency object detection. It seems to …

Hierarchical Time-Aware Approach for Video Summarization

LV Cardoso, GOR Gomes, SJF Guimarães… - Brazilian Conference on …, 2023 - Springer
Video summarization consists of generating a concise video representation that captures all
its meaningful information. However, conventional summarization techniques often fall short …

Deep AngioKey: A Novel Approach for Objective Keyframe Extraction in Coronary Angiography Analysis

H Moalla, A Ghrab, A Bahloul, BB Hamed, L Abid - 2023 - researchsquare.com
Coronary angiography represents the GOLD standard for diagnosing and treating
obstructive coronary artery disease. Its analysis relies on cardiologist? s visual assessment …

[PDF][PDF] Classification of Skin Disease Images through Deep Learning Framework

S Zhao, M Wang - researchgate.net
In this paper, three new deep learning models were proposed for the classification of
melanoma lesion images, which have high performances in the minority class classification …

[PDF][PDF] Supervised Learning Model for Key Frame Identification from Cow Teat Videos

M Wang, P Lin - researchgate.net
This paper proposes a method for improving the accuracy of mastitis risk assessment in
cows using neural network and video analysis. Mastitis, an infection of the udder tissue, is a …

[引用][C] Human Activity Recognition Using Bidirectional Long Short-Term Memory Network with a Keyframe Selection Method

S Nindam, T Manmai, HJ Lee - 한국정보과학회학술발표논문집, 2023 - dbpia.co.kr
This research aims to study human activity recognition (HAR) on frequent-movement and
slow-moving behaviors using convolutional neural networks and recurrent neural networks …