Backbones-review: Feature extraction networks for deep learning and deep reinforcement learning approaches
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …
most used technique nowadays. While finding the pattern within the analyzed data …
A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Video description: A comprehensive survey of deep learning approaches
Video description refers to understanding visual content and transforming that acquired
understanding into automatic textual narration. It bridges the key AI fields of computer vision …
understanding into automatic textual narration. It bridges the key AI fields of computer vision …
Use of deep learning in soccer videos analysis: survey
The demand for video analysis has been rapidly increasing in the last decade. Video
analysis plays a critical role in various technologies, including medical diagnosis, security …
analysis plays a critical role in various technologies, including medical diagnosis, security …
A survey of deep learning in sports applications: Perception, comprehension, and decision
Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …
ranging from perception and comprehension to decision. This paper presents a …
Hybrid design for sports data visualization using AI and big data analytics
A Liu, RP Mahapatra, AVR Mayuri - Complex & Intelligent Systems, 2023 - Springer
In sports data analysis and visualization, understanding collective tactical behavior has
become an integral part. Interactive and automatic data analysis is instrumental in making …
become an integral part. Interactive and automatic data analysis is instrumental in making …
Cloud-based healthcare framework for real-time anomaly detection and classification of 1-D ECG signals
Real-time data collection and pre-processing have enabled the recognition, realization, and
prediction of diseases by extracting and analysing the important features of physiological …
prediction of diseases by extracting and analysing the important features of physiological …
Soccer game summarization using audio commentary, metadata, and captions
Soccer is one of the most popular sports globally, and the amount of soccer-related content
worldwide, including video footage, audio commentary, team/player statistics, scores, and …
worldwide, including video footage, audio commentary, team/player statistics, scores, and …
Cricshotclassify: an approach to classifying batting shots from cricket videos using a convolutional neural network and gated recurrent unit
Recognizing the sport of cricket on the basis of different batting shots can be a significant
part of context-based advertisement to users watching cricket, generating sensor-based …
part of context-based advertisement to users watching cricket, generating sensor-based …
Image classification with transfer learning using a custom dataset: comparative study
H Bichri, A Chergui, M Hain - Procedia Computer Science, 2023 - Elsevier
Training a deep neural network is an expensive work because it is a time-consuming task
and requires high computational power and usually a lot of dataset is needed to train a …
and requires high computational power and usually a lot of dataset is needed to train a …