Video Object Segmentation
Tasks, Datasets, and Methods
Buch in deiner Nähe kaufen
Beschreibung
This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video understanding in computer vision. Segmenting unique objects in a given video is useful for a variety of applications, including video conference, video editing, surveillance, and autonomous driving. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of segmentation. The book includes these recent results and findings in large-scale video object segmentation as well as benchmarks in large-scale human-centric video analysis in complex events. The authors provide readers with a comprehensive understanding of the challenges involved in video object segmentation, as well as the most effective methods for resolving them.
This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video understanding in computer vision. Segmenting unique objects in a given video is useful for a variety of applications, including video conference, video editing, surveillance, and autonomous driving. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of segmentation. The book includes these recent results and findings in large-scale video object segmentation as well as benchmarks in large-scale human-centric video analysis in complex events. The authors provide readers with a comprehensive understanding of the challenges involved in video object segmentation, as well as the most effective methods for resolving them.
Provides a thorough introduction to the most common problem settings, including semi-supervised VOS and unsupervised VOS Discusses recent progress in video object segmentation, including new datasets, methods, and experimental findings Aids readers to gain a better understanding of the most important problems and advances via real-world examples
Autor*in
Ning Xu
Themen in »Video Object Segmentation«
Video Segmentation Video Object Segmentation (VOS) Multi-object Tracking (MOT) Video Instance Segmentation (VIS) Large-scale Video Object Segmentation Challenge (LSVOS) Computer Vision Pattern Recognition Video Editing Video Conference