Video Object Segmentation: Tasks, Datasets, and Methods (1st ed. 2024) (Synthesis Lectures on Computer Vision)

By: Ning Xu and Weiyao Lin and Xiankai Lu and Yunchao Wei

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783031446566
Related ISBNs:: 9783031446559
Publisher:: Springer International Publishing
Date of Addition:: 01/16/24
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Art and Architecture, Computers and Internet, Technology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.