Handbook of Video Databases: Design and Applications
* Topics include video modeling and representation, and indexing and retrieval * Examines algorithms for video segmentation and summarization * Describes methods for design of and interaction with video databases * Focuses on video transmission techniques, including video streaming an...
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| Những tác giả chính: | , |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
CRC Press
2009
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1369 |
| Các nhãn: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | * Topics include video modeling and representation, and indexing and retrieval
* Examines algorithms for video segmentation and summarization
* Describes methods for design of and interaction with video databases
* Focuses on video transmission techniques, including video streaming and emerging video compression algorithms
* Details video processing methods and their relationship to the construction of databases
* Outlines major commercial projects and prototypes
* Considers the direction of future research
Technology has spurred the growth of huge image and video libraries, many growing into the hundreds of terabytes. As a result there is a great demand among organizations for the design of databases that can effectively support the storage, search, retrieval, and transmission of video data. Engineers and researchers in the field demand a comprehensive reference that will help them design and implement the most complex video database projects.
Handbook of Video Databases: Design and Applications presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. This book provides the tools to help overcome the problems of storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines. |
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