Survey on videos data augmentation for deep learning models
N Cauli, D Reforgiato Recupero - Future Internet, 2022 - mdpi.com
In most Computer Vision applications, Deep Learning models achieve state-of-the-art
performances. One drawback of Deep Learning is the large amount of data needed to train …
performances. One drawback of Deep Learning is the large amount of data needed to train …
Surveillance video synopsis framework base on tube set
Y Zhang, P Zhu, T Zheng, P Yu, J Wang - Journal of Visual Communication …, 2024 - Elsevier
Video synopsis technology can shorten the length of the video, which has attracted wide
attention. However, due to the limitation of object extraction technology and the difficulty of …
attention. However, due to the limitation of object extraction technology and the difficulty of …
Intelligent cctv footage analysis with sound source separation, object detection and super resolution
Y Khare, A Ramesh, V Chandran, S Veerasamy… - … : Proceedings of ICICIT …, 2022 - Springer
CCTV cameras are found everywhere nowadays and are used to monitor, secure, and
protect your property, or at the very least serves as intelligent CCTV footage analysis with …
protect your property, or at the very least serves as intelligent CCTV footage analysis with …
Surveillance video synopsis based on spatio-temporal offset
Y Zhang, K Guo, T Zheng - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
With the wide popularity of surveillance cameras, video synopsis technology has become a
research hotspot. The existing methods of surveillance video synopsis usually summarize …
research hotspot. The existing methods of surveillance video synopsis usually summarize …
Text-to-Speech and Speech-to-Text Models: A Systematic Examination of Diverse Approaches
S Sudhan, PP Nair, M Thushara - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
The convergence of Text-to-Speech (TTS) and Speech-to-Text (STT) models has
spearheaded an era of transformative advancements in natural language processing (NLP) …
spearheaded an era of transformative advancements in natural language processing (NLP) …
Automatic Target Detection in Cluttered Infrared Imagery using Background Modeling Approach
Y Khare, TV Chandran, A Ramesh… - … on Trends in …, 2022 - ieeexplore.ieee.org
Target detection is the primary purpose of a real-time visual surveillance system. However,
this is a challenging problem due to high variability in the appearance of targets and the …
this is a challenging problem due to high variability in the appearance of targets and the …