Multi-modal Hash Learning
Springer International Publishing (Verlag)
978-3-031-37290-2 (ISBN)
Lei Zhu, Ph.D. is a Professor in the School of Information Science and Engineering, Shandong Normal University. He received his B.Eng. and Ph.D. degrees from Wuhan University of Technology and Huazhong University Science and Technology, respectively. He was a Research Fellow at the University of Queensland (2016-2017). His research interests include large-scale multimedia content analysis and retrieval.
Jingjing Li, Ph.D, is a Professor in the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC). He received his B.Eng., M.Sc. and Ph.D. degrees from UESTC. His research interests include domain adaptation and zero-shot learning.
Weili Guan received a master degree from National University of Singapore. After that, she joined Hewlett Packard Enterprise in Singapore as a Software Engineer and worked there for several years. She is currently a PhD student with the Faculty of Information Technology, Monash University (Clayton Campus), Australia. Her research interests are multimedia computing and information retrieval. She has authored or co-authored more than 30 papers at first-tier conferences and journals, such as ACM MM, SIGIR, and IEEE TIP.
1 Introduction.- 2 Context-aware Hashing.- 3 Cross-modal Hashing.- 4 Composite Multi-modal Hashing.- 5 Multi-modal Discrete Collaborative Filtering.- 6 Research Frontiers.
Erscheinungsdatum | 06.08.2023 |
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Reihe/Serie | Synthesis Lectures on Information Concepts, Retrieval, and Services |
Zusatzinfo | XXII, 199 p. 51 illus., 50 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 168 x 240 mm |
Gewicht | 545 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Schlagworte | Composite Multi-modal Retrieval • Context-aware Image Retrieval • Cross-modal Retrieval • Hashing • multimedia indexing • Multimedia Information Retrieval |
ISBN-10 | 3-031-37290-5 / 3031372905 |
ISBN-13 | 978-3-031-37290-2 / 9783031372902 |
Zustand | Neuware |
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