Background removal of video in realtime

Arya Khanorkar, Bhavika Pawar, Diksha Singh, Kritika Dhanbhar, Nikhil Mangrulkar
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Abstract

Background removal for video is a computer-vision based system to remove the background from a video with ease. Creating a professional background when at home, i.e., not in a very professional environment, can be a tedious task. Not everyone has time to learn editing and the technicalities involved in having an entire setup for creating a sophisticated background and it is not practical that normal people buy green screens or blue screens just for their everyday formal meets. Our goal is to create a quick and easy solution to that by removing background in real time while also maintaining the quality of the call, having the additional benefit of adding custom backgrounds and enabling users to add effects like adjust lighting, contrast etc., we are combining all 4-5 steps in 1 single step. SelfieSegmentation module of Mediapipe helps us achieve this. The Selfie Segmentation API creates an output mask from an input image. The mask will be the same size as the input image by default. A float integer with a range of [0.0, 1.0] is assigned to each pixel of the mask. The higher the confidence that the pixel depicts a person, and vice versa, the closer the number is to 1.0.
背景删除视频在实时
视频背景删除是一种基于计算机视觉的系统,可以轻松地从视频中删除背景。在家创建一个专业背景,也就是说,不是在一个非常专业的环境中,可能是一项乏味的任务。并不是每个人都有时间去学习编辑和制作复杂背景所需的技术细节,普通人购买绿幕或蓝幕只是为了日常正式会议是不现实的。我们的目标是创建一个快速简单的解决方案,通过实时删除背景,同时保持通话质量,有额外的好处,添加自定义背景,并允许用户添加效果,如调整照明,对比度等,我们将所有4-5步骤结合在一个步骤中。Mediapipe的selfiessegmentation模块帮助我们实现了这一点。自拍分割API从输入图像创建输出掩码。默认情况下,掩码将与输入图像的大小相同。为掩码的每个像素分配一个范围为[0.0,1.0]的浮点整数。像素描绘一个人的置信度越高,反之亦然,这个数字就越接近1.0。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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