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MultiMedia Modeling 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part I /

This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29 – February 2, 2024. The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The M...

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-д хадгалсан:
Номзүйн дэлгэрэнгүй
Байгууллагын зохиогч: SpringerLink (Online service)
Бусад зохиолчид: Rudinac, Stevan (Засварлагч), Hanjalic, Alan (Засварлагч), Liem, Cynthia (Засварлагч), Worring, Marcel (Засварлагч), Jónsson, Björn Þór (Засварлагч), Liu, Bei (Засварлагч), Yamakata, Yoko (Засварлагч)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Хэвлэл:1st ed. 2024.
Цуврал:Lecture Notes in Computer Science, 14554
Нөхцлүүд:
Computer vision.
Image processing.
Pattern recognition systems.
Application software.
Information storage and retrieval systems.
Machine learning.
Computer Vision.
Image Processing.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Machine Learning.
Онлайн хандалт:https://doi.org/10.1007/978-3-031-53305-1
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Тодорхойлолт
Тойм:This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29 – February 2, 2024. The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
Биет тодорхойлолт:1 online resource (XVIII, 505 p. 182 illus.). 171 illus. in color.
ISBN:9783031533051
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-53305-1

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