Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13833)
Included in the following conference series:
Conference proceedings info: MMM 2023.
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About this book
The 86 papers presented in these proceedings were carefully reviewed and selected from a total of 267 submissions. They focus on topics related to multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.
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Keywords
- machine learning
- image analysis
- semantic information
- computer programming
- multimedia content analysis
- multimedia mining
- signal processing and communications
- multimedia abstraction and summarization
- security and content protection
- multimedia applications
- media content drowsing and retrieval tools
- multi-camera and multi-view systems
- multimedia databases, content delivery and transport
- interactive multimedia and personalization
Table of contents (60 papers)
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Detection, Recognition and Identification
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Human Action Understanding
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Image Quality Assessment and Enhancement
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Multimedia Analytics Application
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MultiMedia Modeling
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MultiMedia Modeling
Editors and Affiliations
Bibliographic Information
Book Title: MultiMedia Modeling
Book Subtitle: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part I
Editors: Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, … Phoebe Chen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-27077-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-27076-5Published: 29 March 2023
eBook ISBN: 978-3-031-27077-2Published: 28 March 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXIII, 702
Number of Illustrations: 6 b/w illustrations, 219 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Pattern Recognition, Computer Applications