Cover image for Handbook of video databases: design and applications
Title:
Handbook of video databases: design and applications
Publication Information:
Boca Raton, Fla. : CRC Press, 2004
ISBN:
9780849370069

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30000010064567 TA1635 H36 2003 Open Access Book Book
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Summary

Summary

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.


Author Notes

Furht\, Borko; Marques\, Oge


Table of Contents

Oge Marques and Borko FurhtAshutosh Garg and Milind R. Naphade and Thomas S. HuangNuno VasconcelosAlexandros Eleftheriadis and Danny HongJuergen Assfalg and Marco Bertini and Carlo Colombo and Alberto Del BimboAhmet Ekin and A. Murat TekalpEdoardo Ardizzone and Marco La CasciaTat-Seng Chua and A. Chandrashekhara and HuaMin FengMichael A. Smith and Howard D. Watclar and Michael G. ChristelYihong GongPhilippe Mulhem and Jerome Gensel and Herve MartinCharles B. Owen and John K. DixonCharles B. Owen and Ji Zhou and Kwok Hung Tang and Fan XiaoMohamed Ahmed and Ahmed KarmouchRong Zhao and William I. GroskyRune Hjelsvold and Subu VdaygiriZ. Huang and N. Chokkareddy and B. PrabhakaranChabane Djeraba and Younes Hafri and Bruno BachimontA. Picariello and M. L. Sapino and V.S. SubrahmanianZhu Liu and Yao WangMichael Ortega-Binderberger and Sharad MehrotraSimone SantiniDirk Farin and Thomas Haenselmann and Stephan Kopf and Gerald Kuhne and Wolfgang EffelsbergQing Li and H Lilian Tang and Horace H. S. Ip and Shermann S. M. ChanCha Zhang and Tsuhan ChenJohn R. SmithShin'ichi Satoh and Norio KatayamaSen-ching Samson Cheung and Avideh ZakhorAgma Traina and Caetano Traina Jr.Xiang Sean Zhou and Thomas S. HuangKien A. Hua and Mounir TantaouiCyrus Shahabi and Roger ZimmermannAidong Zhang and Ramazan Savas Aygun and Yuqing SongJohn G. Apostolopoulos and Wai-tian Tan and Susie J. WeeShahram Ghandeharizadeh and Seon Ho KimAnthony Vetro and Hari KalvaPrithwish Basu and Thomas D. C. Little and Wang Ke and Rajesh KrishnanRainer Lienhart and Igor Kozintsev and Yen-Kuang Chen and Matthew Holliman and Minerva Yeung and Andre Zaccarin and Rohit PuriLuis Torres and Edward DelpSusie Wee and Bo Shen and John ApostolopoulosZhou Wang and Hamid R. Sheikh and Alan C. BovikGwenael Doerr and Jean-Luc DugelayDavid Gibbon and Lee Begeja and Zhu Liu and Bernard Renger and Behzad ShahrarayLekha Chaisorn and Tat-Seng Chua and Chin-Hui LeeNevenka Dimitrova and Radu Jasinschi and Lalitha Agnihotri and John Zimmerman and Thomas McGee and Dongge Li
Section I Introduction
1. Introduction to Video Databasesp. 1
Section II Video modeling and representation
2. Modeling Video Using Input/Output Markov Models with Application to Multi-modal Event Detectionp. 23
3. Statistical Models of Video Structure and Semanticsp. 45
4. Flavor: A Language for Media Representationp. 69
5. Integrating Domain Knowledge and Visual Evidence to Support Highlight Detection in Sports Videosp. 97
6. A Generic Event Model and Sports Video Processing for Summarization and Model-Based Searchp. 123
Section III Video Segmentation and Summarization
7. Temporal Segmentation of Video Datap. 149
8. A Temporal Multi-resolution Approach to Video Shot Segmentationp. 177
9. Video Summaries through Multimodal Analysisp. 207
10. Audio and Visual Content Summarization of a Video Programp. 245
11. Adaptive Video Summarizationp. 279
12. Adaptive Video Segmentation and Summarizationp. 299
13. Augmented Imagery for Digital Video Applicationsp. 319
14. Video Indexing and Summarization Service for Mobile Usersp. 349
15. Video Shot Detection Using Color Anglogram and Latent Semantic Indexing: From Contents to Semanticsp. 371
Section IV Designing and Interacting with Video Databases
16. Tools and Techniques for Providing Interactive Video Database Applicationsp. 393
17. Animation Databasesp. 417
18. Video Intelligent Explorationp. 441
19. A Video Database Algebrap. 457
Section V Audio and Video Indexing and Retrieval
20. Audio Indexing and Retrievalp. 483
21. Relevance Feedback in Multimedia Databasesp. 511
22. Organizational Principles of Video Datap. 537
23. Segmentation and Classification of Moving Video Objectsp. 561
24. A Web-based Video Retrieval System: Architecture, Semantic Extraction, and Experimental Developmentp. 593
25. From Low Level Features to High Level Semanticsp. 613
26. Video Indexing and Retrieval Using MPEG-7p. 625
27. Indexing Video Archives: Analyzing, Organizing, and Searching Video Informationp. 651
28. Efficient Video Similarity Measurement Using Video Signaturesp. 679
29. Similarity Search in Multimedia Databasesp. 711
30. Small Sample Learning Issues for Interactive Video Retrievalp. 739
Section VI Video Communications
31. Cost Effective and Scalable Video Streaming Techniquesp. 763
32. Design and Development of a Scalable End-to-End Streaming Architecturep. 785
33. Streaming Multimedia Presentations in Distributed Database Environmentsp. 807
34. Video Streaming: Concepts, Algorithms, and Systemsp. 831
35. Continuous Display of Video Objects using Heterogeneous Disk Subsystemsp. 865
36. Technologies and Standards for Universal Multimedia Accessp. 891
37. Server-Based Service Aggregation Schemes for Interactive Video-on-Demandp. 927
38. Challenges in Distributed Video Management and Deliveryp. 961
39. Video Compression: State of the Art and New Trendsp. 991
Section VII Video Processing
40. Compressed-domain Video Processingp. 1005
41. Objective Video Quality Assessmentp. 1041
42. Video Watermarking: Overview and Challengesp. 1079
Section VIII Case Studies and Applications
43. Creating Personalized Video Presentations using Multimodal Processingp. 1107
44. Segmenting Stories in News Videop. 1133
45. The Video Scout System: Content-based Analysis and Retrieval for Personal Video Recordersp. 1149
Section IX Panel of Experts: The Future of Video Databases: World-renowned experts answer fundamental questions about the state-of-the-art and future research directions in video databases and related topicsp. 1173
Indexp. 1199