A Guide to Video Object Segmentation for Beginners

Segmenting and tracking the objects of interest in the video is critical for effectively analyzing and using video big data.
Video segmentation, or the partitioning of video frames into multiple segments or objects, is important in a variety of practical applications, including visual effect assistance in movies, autonomous driving scene understanding, and video conferencing virtual background creation, to name a few. In order to fully comprehend this concept, we will look at what video object segmentation is and how it is used in this post. Below is a list of the main points to be discussed. Table Of Contents What is Video Object Segmentation?Methods of Video Object SegmentationUnsupervisedSemi-SupervisedSpatio-Temporal GraphConvolutional Neural NetworkVideo Object Segmentation in Python Let us start the discussion by understanding what is Video object segmentation. What is Video Object Segmentation
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Picture of Vijaysinh Lendave
Vijaysinh Lendave
Vijaysinh is an enthusiast in machine learning and deep learning. He is skilled in ML algorithms, data manipulation, handling and visualization, model building.
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