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http://bura.brunel.ac.uk/handle/2438/27284
Title: | Background Replacement in Video Conferencing |
Authors: | Shahi, K Li, Y |
Keywords: | video conferencing;background replacement;image segmentation;U-Net;mobilenet;ConvLSTM |
Issue Date: | 23-Jun-2023 |
Publisher: | Scilight Press |
Citation: | Shahi, K. and Li, Y. (2023) 'Background Replacement in Video Conferencing', International Journal of Network Dynamics and Intelligence, 2 (2), pp. 1 - 11. doi: 10.53941/ijndi.2023.100004. |
Abstract: | Copyright © Kiran Shahi, Yongmin Li 2023. Background replacement is one of the most used features in video conferencing applications by many people, perhaps mainly for privacy protection, but also for other purposes such as branding, marketing and promoting professionalism. However, the existing applications in video conference tools have serious limitations. Most applications tend to generate strong artefacts (while there is a slight change in the perspective of the background), or require green screens to avoid such artefacts, which results in an unnatural background or even exposes the original background to other users in the video conference. In this work, we aim to study the relationship between the foreground and background in real-time videos. Three different methods are presented and evaluated, including the baseline U-Net, the lightweight U-Net MobileNet, and the U-Net MobileNet&ConvLSTM models. The above models are trained on public datasets for image segmentation. Experimental results show that both the lightweight U-Net MobileNet and the U-Net MobileNet& ConvLSTM models achieve superior performance as compared to the baseline U-Net model. |
Description: | Data Availability Statement: Source code is available at Github and dataset is available at Kaggle. Link for GitHub repository: https://github.com/kiranshahi/Real-time-Background-replacement-in-Video-Conferencing; Link for a dataset: https://www.kaggle.com/datasets/nikhilroxtomar/person-segmentation. |
URI: | https://bura.brunel.ac.uk/handle/2438/27284 |
Other Identifiers: | ORCID iD: Yongmin Li https://orcid.org/0000-0003-1668-2440 |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Copyright (c) 2023 Kiran Shahi, Yongmin Li. Creative Commons License. This work is licensed under a Creative Commons Attribution 4.0 International License. | 2.36 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License