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Video content analysis using multimodal information : for movie content extraction, indexing, and representation

Video content analysis using multimodal information : for movie content extraction, indexing, and representation (Loan 1 times)

Material type
단행본
Personal Author
Li, Ying, 1972 September 18-. Kuo, C.-C. Jay (Chung-Chieh Jay).
Title Statement
Video content analysis using multimodal information : for movie content extraction, indexing, and representation / Ying Li, C.-C. Jay Kuo.
Publication, Distribution, etc
Boston, Mass. :   Kluwer Academic Publishers,   c2010.  
Physical Medium
xxi, 194 p. : ill. ; 24 cm.
ISBN
9781441953650
Bibliography, Etc. Note
Includes bibliographical references (p. [179]-192) and index.
Subject Added Entry-Topical Term
Information storage and retrieval systems --Digital video. Optical storage devices. Multimedia systems.
000 00000nam u2200205 a 4500
001 000045901823
005 20170331152327
008 170331s2010 maua b 001 0 eng d
020 ▼a 9781441953650
040 ▼a 211009 ▼c 211009 ▼d 211009
082 0 0 ▼a 006.7 ▼2 23
084 ▼a 006.7 ▼2 DDCK
090 ▼a 006.7 ▼b L693v
100 1 ▼a Li, Ying, ▼d 1972 September 18-.
245 1 0 ▼a Video content analysis using multimodal information : ▼b for movie content extraction, indexing, and representation / ▼c Ying Li, C.-C. Jay Kuo.
260 ▼a Boston, Mass. : ▼b Kluwer Academic Publishers, ▼c c2010.
300 ▼a xxi, 194 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references (p. [179]-192) and index.
650 0 ▼a Information storage and retrieval systems ▼x Digital video.
650 0 ▼a Optical storage devices.
650 0 ▼a Multimedia systems.
700 1 ▼a Kuo, C.-C. Jay ▼q (Chung-Chieh Jay).
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.7 L693v Accession No. 121239770 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Dedication. List of Figures. List of Tables. Preface. Acknowledgments. 1: Introduction. 1. Audiovisual Content Analysis. 1.1. Audio Content Analysis. 1.2. Visual Content Analysis. 1.3. Audiovisual Content Analysis. 2. Video Indexing, Browsing and Abstraction. 3. MPEG-7 Standard. 4. Roadmap of The Book. 4.1. Video Segmentation. 4.2. Movie Content Analysis. 4.3. Movie Content Abstraction. 2: Background And Previous Work. 1. Visual Content Analysis. 1.1. Video Shot Detection. 1.2. Video Scene and Event Detection. 2. Audio Content Analysis. 2.1. Audio Segmentation and Classification. 2.2. Audio Analysis for Video Indexing. 3. Speaker Identification. 4. Video Abstraction. 4.1. Video Skimming. 4.2. Video Summarization. 5. Video Indexing and Retrieval. 3: Video Content Pre-Processing. 1. Shot Detection in Raw Data Domain. 1.1. YUV Color Space. 1.2. Metrics for Frame Differencing. 1.3. Camera Break Detection. 1.4. Gradual Transition Detection. 1.5. Camera Motion Detection. 1.6. Illumination Change Detection. 1.7. A Review of the Proposed System. 2. Shot Detection in Compressed Domain. 2.1. DC-image and DC-sequence. 3. Audio Feature Analysis. 4. Commercial Break Detection. 4.1. Features of A Commercial Break. 4.2. Feature Extraction. 4.3. The Proposed Detection Scheme. 5. Experimental Results. 5.1. Shot Detection Results. 5.2. Commercial Break Detection Results. 4: Content-Based Movie Scene And Event Extraction. 1. Movie Scene Extraction. 1.1. Sink-based Scene Construction. 1.2. Audiovisual-based Scene Refinement. 1.3. User Interaction. 2. Movie Event Extraction. 2.1. Sink Clustering and Categorization. 2.2. Event Extraction and Classification. 2.3. Integrating Speech and Face Information. 3. Experimental Results. 3.1. Scene Extraction Results. 3.2. Event Extraction Results. 5: Speaker Identification For Movies. 1. Supervised Speaker Identification for Movie Dialogs. 1.1. Feature Selection and Extraction. 1.2. Gaussian Mixture Model. 1.3. Likelihood Calculation and Score Normalization. 1.4. Speech Segment Isolation. 2. Adaptive Speaker Identification. 2.1. Face Detection, Recognition and Mouth Tracking. 2.2. Speech Segmentation and Clustering. 2.3. Initial Speaker Modeling. 2.4. Likelihood-based Speaker Identification. 2.5. Audiovisual Integration for Speaker Identification. 2.6. Unsupervised Speaker Model Adaptation. 3. Experimental Results. 3.1. Supervised Speaker Identification Results. 3.2. Adaptive Speaker Identification Results. 3.3. An Example of Movie Content Annotation. 6: Scene-Based Movie Summarization. 1. An Overview of the Proposed System. 2. Hierarchical Keyframe Extraction. 2.1. Scene Importance Computation. 2.2. Sink Importance Computation. 2.3. Sh


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