A survey on semi-automated and automated approaches for video annotation

S Zare, M Yazdi - 2022 12th International Conference on …, 2022 - ieeexplore.ieee.org
Video analytics systems have recently gained intensive attention due to the fact that they
play a practical role in a broad range of topics, including understanding scenes in …

Predicting electricity consumption using deep recurrent neural networks

A Nugaliyadde, U Somaratne, KW Wong - arXiv preprint arXiv:1909.08182, 2019 - arxiv.org
Electricity consumption has increased exponentially during the past few decades. This
increase is heavily burdening the electricity distributors. Therefore, predicting the future …

Analysis of energy consumption using RNN-LSTM and ARIMA Model

MM Sachin, MP Baby, AS Ponraj - Journal of Physics …, 2020 - iopscience.iop.org
Given the increase of smart electricity meters and the wide adoption of electricity generation
technologies such as solar panels, there is a wealth of data available on the usage of …

Characterising video segments to support learning

A Mohammed, V Dimitrova - ICCE 2020 Proceedings, 2020 - eprints.whiterose.ac.uk
Videos provide opportunities for engagement and independent learning and are widely
used in various learning contexts. However, there are challenges with using videos for …

Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning

A Ziai, A Vartakavi - arXiv preprint arXiv:2402.06560, 2024 - arxiv.org
High-quality and consistent annotations are fundamental to the successful development of
robust machine learning models. Traditional data annotation methods are resource …

Detecting objects and people and tracking movements in a video using tensorflow and deeplearning

J Bornia, A Frihida, C Claramunt - 2020 4th International …, 2020 - ieeexplore.ieee.org
With the advent of the digital age and more specifically videos, a huge amount of data is
produced every day such as television archiving, video surveillance, etc. Faced with the …

A state-of-art review on automatic video annotation techniques

K Randive, R Mohan - Intelligent Systems Design and Applications: 18th …, 2020 - Springer
Video annotation has gained attention because of the rapid development of video
information and wide usage of video analysis in all directions. With the capacity of depicting …

No-code MLOps Platform for Data Annotation

H Kim, B Kim, W Lu, L Li - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
The increasing demand for large-scale training data in deep learning models has
underscored the significance of efficient data annotation. However, manual labeling remains …

Towards a semantic video analysis using deep learning and ontology

J Bornia, SA Mahmoudi, A Frihida… - 2018 4th International …, 2018 - ieeexplore.ieee.org
With the technological advances in the field of multimedia, associated with the
generalization of their uses in many applications such as television archiving, motion …

Video tagging and recommender system using deep learning

V Garg, VA Markhedkar, SS Lale… - … and Computer Vision …, 2021 - Springer
In today's digital era, video tagging has gained its importance to acknowledge the fact that
searching for appropriate videos is a waste of time. In this paper, we address the problem of …