03309nam a22005655i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001100172072001700183072002300200072001600223100007800239245013700317250001800454264007500472300006600547336002600613337002600639338003600665347002400701490005400725505005000779520101700829650002101846650002201867650004901889650002901938650004001967650002102007650002202028650007102050650002902121650004202150700008102192700008102273700008202354710003402436773002602470776003602496776003602532776003602568830006102604856004602665912001502711999001702726978-3-031-44656-6DE-He21320251030110855.0cr nn 008mamaa231215s2024    sz |    s    |||| 0|eng d  a97830314465669978-3-031-44656-67 a10.1007/978-3-031-44656-62doi 4aTA1634 7aUYQV2bicssc 7aCOM0160002bisacsh 7aUYQV2thema1 aXu, Ning.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut96795810aVideo Object Segmentationh[electronic resource] :bTasks, Datasets, and Methods /cby Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aVIII, 187 p. 64 illus., 62 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSynthesis Lectures on Computer Vision,x2153-10640 aIntroduction -- VOS -- YouTubeVOS Challenges.  aThis 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. . 0aComputer vision. 0aImage processing. 0aImage processingxDigital techniques.964228 0aComputer science.958552 0aPattern recognition systems.96554714aComputer Vision.24aImage Processing.24aComputer Imaging, Vision, Pattern Recognition and Graphics.96555024aComputer Science.95855224aAutomated Pattern Recognition.9655511 aLin, Weiyao.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9679591 aLu, Xiankai.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9679601 aWei, Yunchao.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9679612 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303144655908iPrinted edition:z978303144657308iPrinted edition:z9783031446580 0aSynthesis Lectures on Computer Vision,x2153-106496555540uhttps://doi.org/10.1007/978-3-031-44656-6  aZDB-2-SXSC  c56832d56832