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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| Ngôn ngữ: | English |
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CRC Press
2009
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1369 |
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Thư viện Trường Đại học Đà Lạt |
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English |
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* 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. |
| format |
Book |
| author |
Furht, Borko Marques, Oge |
| spellingShingle |
Furht, Borko Marques, Oge Handbook of Video Databases: Design and Applications |
| author_facet |
Furht, Borko Marques, Oge |
| author_sort |
Furht, Borko |
| title |
Handbook of Video Databases: Design and Applications |
| title_short |
Handbook of Video Databases: Design and Applications |
| title_full |
Handbook of Video Databases: Design and Applications |
| title_fullStr |
Handbook of Video Databases: Design and Applications |
| title_full_unstemmed |
Handbook of Video Databases: Design and Applications |
| title_sort |
handbook of video databases: design and applications |
| publisher |
CRC Press |
| publishDate |
2009 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1369 |
| _version_ |
1757657763493707776 |
| spelling |
oai:scholar.dlu.edu.vn:DLU123456789-13692009-12-01T07:25:57Z Handbook of Video Databases: Design and Applications Furht, Borko Marques, Oge * 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. SECTION I – Introduction 1. Introduction to Video Databases SECTION II – Video modeling and representation 2. Modeling Video Using Input/Output Markov Models with Application to Multi-modal Event Detection 3. Statistical Models of Video Structure and Semantics 4. Flavor: A Language for Media Representation 5. Integrating Domain Knowledge and Visual Evidence to Support Highlight Detection in Sports Videos 6. A Generic Event Model and Sports Video Processing for Summarization and Model-Based Search SECTION III – Video Segmentation and Summarization 7. Temporal Segmentation of Video Data 8. A Temporal Multi-resolution Approach to Video Shot Segmentation 9. Video Summaries through Multimodal Analysis 10. Audio and Visual Content Summarization of a Video Program 11. Adaptive Video Summarization 12. Adaptive Video Segmentation and Summarization 13. Augmented Imagery for Digital Video Applications 14. Video Indexing and Summarization Service for Mobile Users 15. Video Shot Detection Using Color Anglogram and Latent Semantic Indexing: From Contents to Semantics SECTION IV – Designing and Interacting with Video Databases 16. Tools and Techniques for Providing Interactive Video Database Applications 17. Animation Databases 18. Video Intelligent Exploration 19. A Video Database Algebra SECTION V – Audio and Video Indexing and Retrieval 20. Audio Indexing and Retrieval 21. Relevance Feedback in Multimedia Databases 22. Organizational Principles of Video Data 23. Segmentation and Classification of Moving Video Objects 24. A Web-based Video Retrieval System: Architecture, Semantic Extraction, and Experimental Development 25. From Low Level Features to High Level Semantics 26. Video Indexing and Retrieval Using MPEG-7 27. Indexing Video Archives: Analyzing, Organizing, and Searching Video Information 28. Efficient Video Similarity Measurement Using Video Signatures 29. Similarity Search in Multimedia Databases 30. Small Sample Learning Issues for Interactive Video Retrieval SECTION VI – Video Communications 31. Cost Effective and Scalable Video Streaming Techniques 32. Design and Development of a Scalable End-to-End Streaming Architecture 33. Streaming Multimedia Presentations in Distributed Database Environments Aidong Zhang, Ramazan Savas Aygün, and Yuqing Song 34. Video Streaming: Concepts, Algorithms, and Systems John G. Apostolopoulos, Wai-tian Tan, and Susie J. Wee 35. Continuous Display of Video Objects using Heterogeneous Disk Subsystems Shahram Ghandeharizadeh and Seon Ho Kim 36. Technologies and Standards for Universal Multimedia Access Anthony Vetro and Hari Kalva 37. Server-Based Service Aggregation Schemes for Interactive Videoon- Demand Prithwish Basu, Thomas D. C. Little, Wang Ke, and Rajesh Krishnan 38. Challenges in Distributed Video Management and Delivery Rainer Lienhart, Igor Kozintsev, Yen-Kuang Chen, Matthew Holliman, Minerva Yeung, Andre Zaccarin, and Rohit Puri 39. Video Compression: State of the Art and New Trends Luis Torres and Edward Delp SECTION VII – Video Processing 40. Compressed-domain Video Processing Susie Wee, Bo Shen, and John Apostolopoulos 41. Objective Video Quality Assessment Zhou Wang, Hamid R. Sheikh, and Alan C. Bovik 42. Video Watermarking: Overview and Challenges SECTION VIII – Case Studies and Applications 43. Creating Personalized Video Presentations using Multimodal Processing David Gibbon, Lee Begeja, Zhu Liu, Bernard Renger, and Behzad Shahraray 44. Segmenting Stories in News Video Lekha Chaisorn, Tat-Seng Chua, and Chin-Hui Lee 45. The Video Scout System: Content-based Analysis and Retrieval for Personal Video Recorders Nevenka Dimitrova, Radu Jasinschi, Lalitha Agnihotri, John Zimmerman, Thomas McGee, and Dongge Li SECTION IX – Panel of Experts: The Future of Video Databases 2009-12-01T07:25:57Z 2009-12-01T07:25:57Z 2003 Book http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1369 en application/rar CRC Press |