| 书目名称 | Multi-modal Hash Learning |
| 副标题 | Efficient Multimedia |
| 编辑 | Lei Zhu,Jingjing Li,Weili Guan |
| 视频video | |
| 概述 | Reveals the key concepts and recent advancements of multi-modal hashing and multimedia indexing technology.Introduces standard multimedia retrieval datasets, evaluation metrics for multi-modal hashing |
| 丛书名称 | Synthesis Lectures on Information Concepts, Retrieval, and Services |
| 图书封面 |  |
| 描述 | This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology. With the explosive growth of multimedia contents, multimedia retrieval is currently facing unprecedented challenges in both storage cost and retrieval speed. The multi-modal hashing technique can project high-dimensional data into compact binary hash codes. With it, the most time-consuming semantic similarity computation during the multimedia retrieval process can be significantly accelerated with fast Hamming distance computation, and meanwhile the storage cost can be reduced greatly by the binary embedding. The authors introduce the categorization of existing multi-modal hashing methods according to various metrics and datasets. The authors also collect recent multi-modal hashing techniques and describe the motivation, objective formulations, and optimization steps for context-aware hashing methods based on the tag-semantics transfer. . |
| 出版日期 | Book 2024 |
| 关键词 | Multimedia Indexing; Hashing; Context-aware Image Retrieval; Cross-modal Retrieval; Composite Multi-moda |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-37291-9 |
| isbn_softcover | 978-3-031-37293-3 |
| isbn_ebook | 978-3-031-37291-9Series ISSN 1947-945X Series E-ISSN 1947-9468 |
| issn_series | 1947-945X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:02:55
