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Video Object Segmentation

Tasks, Datasets, and Methods

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-031-44656-6 / 978-3031446566 / 9783031446566

Verlag: Springer International Publishing

Erscheinungsdatum: 15.12.2023

Seiten: 187

Autor(en): Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei

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