Monkeypox disease diagnosis using machine learning approach
AK Gairola, V Kumar - 2022 8th International Conference on …, 2022 - ieeexplore.ieee.org
A public health crisis has been declared due to the rapid spread of monkeypox in more than
90 nations. Early-stage monkeypox is hard to identify since it looks the same as chickenpox …
90 nations. Early-stage monkeypox is hard to identify since it looks the same as chickenpox …
Hybrid spatiotemporal contrastive representation learning for content-based surgical video retrieval
In the medical field, due to their economic and clinical benefits, there is a growing interest in
minimally invasive surgeries and microscopic surgeries. These types of surgeries are often …
minimally invasive surgeries and microscopic surgeries. These types of surgeries are often …
A supervised video hashing method based on a deep 3d convolutional neural network for large-scale video retrieval
H Chen, C Hu, F Lee, C Lin, W Yao, L Chen, Q Chen - Sensors, 2021 - mdpi.com
Recently, with the popularization of camera tools such as mobile phones and the rise of
various short video platforms, a lot of videos are being uploaded to the Internet at all times …
various short video platforms, a lot of videos are being uploaded to the Internet at all times …
A Comprehensive Review of Media Forensics and Deepfake Detection Technique
M Kandari, V Tripathi, B Pant - 2023 10th International …, 2023 - ieeexplore.ieee.org
In recent years, as the use of the internet and social media has advanced, so the number of
fake media content also grows rapidly. Media forensic techniques are becoming essential to …
fake media content also grows rapidly. Media forensic techniques are becoming essential to …
Exploring the strengths of neural codes for video retrieval
Abstract Websites like YouTube, Facebook, Twitter, etc. encounter large amounts of videos
every day, mostly uploaded from mobile devices, digital cameras, etc. These videos rarely …
every day, mostly uploaded from mobile devices, digital cameras, etc. These videos rarely …
Content based video retrieval system using two stream convolutional neural network
S Sowmyayani, PAJ Rani - Multimedia Tools and Applications, 2023 - Springer
Nowadays capturing video through mobile phones, digital cameras and uploading it in
social media is a trend. These videos do not have semantic tags. Searching these kinds of …
social media is a trend. These videos do not have semantic tags. Searching these kinds of …
Unsupervised learning of visual representations via rotation and future frame prediction for video retrieval
Due to rapid technological advancements, the growth of videos uploaded to the internet has
increased exponentially. Most of these videos are free of semantic tags, which makes …
increased exponentially. Most of these videos are free of semantic tags, which makes …
Learning clustered deep spatio-temporal prototypes using softmax regression for video information systems
For solving the data imbalance, dimensionality reduction, and optimizing the training time
research problem, this research developed a method for producing an optimized number of …
research problem, this research developed a method for producing an optimized number of …
Content based surgical video retrieval via multi-deep features fusion
Medicine has seen a rapid increase in the number of minimally invasive surgeries that
benefit patients in various ways due to economic and clinical factors. In most hospitals such …
benefit patients in various ways due to economic and clinical factors. In most hospitals such …
Enhancing unsupervised video representation learning by temporal contrastive modelling using 2d CNN
Using video sequence order as a supervised signal has proven to be effective in initializing
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …