04830nam 22006854a 450 991045895080332120200520144314.01-281-05226-497866110522630-08-048153-1(CKB)1000000000364180(EBL)293952(OCoLC)476056074(SSID)ssj0000264991(PQKBManifestationID)11217006(PQKBTitleCode)TC0000264991(PQKBWorkID)10310279(PQKB)10675442(MiAaPQ)EBC293952(Au-PeEL)EBL293952(CaPaEBR)ebr10186064(CaONFJC)MIL105226(EXLCZ)99100000000036418020050922d2006 uy 0engur|n|---|||||txtccrA unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance video[electronic resource] /Ziyou Xiong ... [et al.]Amsterdam ;Boston Elsevier/Academic Pressc20061 online resource (291 p.)Description based upon print version of record.0-12-369387-X Includes bibliographical references (p. 253-259) and index.Front Cover; A UNIFIED FRAMEWORK FOR VIDEO SUMMARIZATION, BROWSING, AND RETRIEVAL; Copyright Page; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 Introduction; 1.2 Terminology; 1.3 Video Analysis; 1.4 Video Representation; 1.5 Video Browsing and Retrieval; 1.6 The Rest of the Book; Chapter 2. Video Table-of-Content Generation; 2.1 Introduction; 2.2 Related Work; 2.3 The Proposed Approach; 2.4 Determination of the Parameters; 2.5 Experimental Results; 2.6 Conclusions; Chapter 3. Highlights Extraction from Unscripted Video; 3.1 Introduction3.2 Audio Marker Recognition3.3 Visual Marker Detection; 3.4 Finer-Resolution Highlights Extraction; 3.5 Conclusions; Chapter 4. Video Structure Discovery Using Unsupervised Learning; 4.1 Motivation and Related Work; 4.2 Proposed Inlier/Outlier-Based Representation for "Unscripted" Multimedia Using Audio Analysis; 4.3 Feature Extraction and the Audio Classification Framework; 4.4 Proposed Time Series Analysis Framework; 4.5 Ranking Outliers for Summarization; 4.6 Application to Consumer Video Browsing; 4.7 Systematic Acquisition of Key Audio Classes; 4.8 Possibilities for Future ResearchChapter 5. Video Indexing5.1 Introduction; 5.2 Indexing with Low-Level Features: Motion; 5.3 Indexing with Low-Level Features: Color; 5.4 Indexing with Low-Level Features: Texture; 5.5 Indexing with Low-Level Features: Shape; 5.6 Indexing with Low-Level Features: Audio; 5.7 Indexing with User Feedback; 5.8 Indexing Using Concepts; 5.9 Discussion and Conclusions; Chapter 6. A Unified Framework for Video Summarization, Browsing, and Retrieval; 6.1 Video Browsing; 6.2 Video Highlights Extraction; 6.3 Video Retrieval; 6.4 A Unified Framework for Summarization, Browsing, and Retrieval6.5 Conclusions and Promising Research DirectionsChapter 7. Applications; 7.1 Introduction; 7.2 Consumer Video Applications; 7.3 Image/Video Database Management; 7.4 Surveillance; 7.5 Challenges of Current Applications; 7.6 Conclusions; Chapter 8. Conclusions; Bibliography; About the Authors; IndexLarge volumes of video content can only be easily accessed by the use of rapid browsing and retrieval techniques. Constructing a video table of contents (ToC) and video highlights to enable end users to sift through all this data and find what they want, when they want are essential. This reference puts forth a unified framework to integrate these functions supporting efficient browsing and retrieval of video content. The authors have developed a cohesive way to create a video table of contents, video highlights, and video indices that serve to streamline the use of applications in consumer anDigital videoIndexesVideo recordingsIndexesAutomatic abstractingDatabase managementImage processingDigital techniquesElectronic books.Digital videoVideo recordingsAutomatic abstracting.Database management.Image processingDigital techniques.006.3/7Xiong Ziyou1051517MiAaPQMiAaPQMiAaPQBOOK9910458950803321A unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance video2482078UNINA