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Methods and Innovations for Multimedia Database Content Management

Book Description

Multimedia and its rich semantics are profligate in today’s digital environment. Databases and content management systems serve as essential tools to ensure that the endless supply of multimedia content are indexed and remain accessible to end users.Methods and Innovations for Multimedia Database Content Management highlights original research on new theories, algorithms, technologies, system design, and implementation in multimedia data engineering and management with an emphasis on automatic indexing, tagging, high-order ranking, and rule mining. This book is an ideal resource for university researchers, scientists, industry professionals, software engineers and graduate students.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Associate Editors
    2. List of Reviewers
  5. Preface
    1. SECTION 1: MULTIMEDIA DATA MINING AND MULTIMEDIA DATABASES
    2. SECTION 2: IMAGE CLASSIFICATION AND RETRIEVAL
    3. SECTION 3: VIDEO CONTENT PROCESSING AND RETRIEVAL
    4. SECTION 4: AUDIO DATA PROCESSING AND INDEXING
    5. SECTION 5: MULTIMEDIA APPLICATIONS: INTEGRATION OF MULTIMEDIA MANAGEMENT AND E-LEARNING TECHNOLOGY
  6. Section 1: Multimedia Data Mining and Multimedia Databases
    1. Chapter 1: Multimedia Databases and Data Management
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. MULTIMEDIA DATABASES AND DATA MANAGEMENT
      4. 3. CONCLUSION
    2. Chapter 2: Weighted Association Rule Mining for Video Semantic Detection
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE PROPOSED FRAMEWORK
      4. 3. EXPERIMENTS AND RESULTS
      5. 4. CONCLUSION
    3. Chapter 3: Correlation-Based Ranking for Large-Scale Video Concept Retrieval
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. VIDEO CONCEPT RETRIEVAL
      5. EXPERIMENTS AND RESULTS
      6. CONCLUSION
    4. Chapter 4: Multi-Label Classification Method for Multimedia Tagging
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. METHODOLOGY
      5. APPLICATION
      6. RESULTS
      7. CONCLUSION
  7. Section 2: Image Classification and Retrieval
    1. Chapter 5: An Image Clustering and Feedback-Based Retrieval Framework
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORKS
      4. FRAMEWORK OVERVIEW
      5. PREPROCESSING
      6. CLUSTERING OF IMAGE REGIONS
      7. RELEVANCE FEEDBACK AND RETRIEVAL
      8. CONCLUSION
    2. Chapter 6: Tissue Image Classification Using Multi-Fractal Spectra
      1. ABSTRACT
      2. INTRODUCTION
      3. MULTI-FRACTAL MEASURES AND SPECTRA
      4. FEATURE VECTORS AND SIMILARITY COMPUTATION
      5. EXPERIMENTAL ANALYSIS
      6. IMPLEMENTATION ASPECTS
      7. CONCLUSIONS AND FURTHER WORK
    3. Chapter 7: Robust Duplicate Detection of 2D and 3D Objects
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. OBJECT DUPLICATE DETECTION ALGORITHM
      5. EXPERIMENTAL SETUP
      6. RESULTS AND ANALYSIS
      7. CONCLUSION
  8. Section 3: Video Content Processing and Retrieval
    1. Chapter 8: Automatic Pitch Type Recognition System from Single-View Video Sequences of Baseball Broadcast Videos
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. “B-MOTION” BALL TRAJECTORY VISUALIZATION SYSTEM
      4. 3. PITCH TYPE RECOGNITION SYSTEM
      5. 4. FEATURES
      6. 5. CREATING THE CLASSIFIER
      7. 6. EXPERIMENT
      8. CONCLUSION
    2. Chapter 9: Ontology Instance Matching Based MPEG-7 Resource Integration
      1. ABSTRACT
      2. INTRODUCTION
      3. MULTIMEDIA METADATA AND RESOURCE ANNOTATION
      4. INTEGRATION STATE-OF-THE-ART
      5. RESOURCE INTEGRATION CHALLENGES
      6. OUR TECHNIQUES TO SOLVE THE CHALLENGES
      7. OUR APPROACH OF MULTIMEDIA RESOURCE INTEGRATION
      8. EXPERIMENTS AND EVALUATION
      9. CONCLUSION AND FUTURE WORK
    3. Chapter 10: Synthetic Video Generation for Evaluation of Sprite Generation
      1. ABSTRACT
      2. INTRODUCTION
      3. MOTION ESTIMATION AND CAMERA MOTION PATTERNS
      4. SPRITE EVALUATION FRAMEWORK (SEF)
      5. APPLYING THE FRAMEWORK
      6. DISCUSSION
      7. CONCLUSION
    4. Chapter 11: Archive Film Comparison
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. EVALUATION
  9. Section 4: Audio Data Processing and Indexing
    1. Chapter 12: Fast Caption Alignment for Automatic Indexing of Audio
      1. ABSTRACT
      2. INTRODUCTION
      3. ALIGNING CAPTIONS
      4. FORCED ALIGNMENT
      5. MEDIA AND TRANSCRIPTS
      6. EDITED TRANSCRIPTS
      7. ALIGNING EDITED TRANSCRIPTS WITH MEDIA
      8. AUTOCAP
      9. ARCHITECTURE
      10. MEDIA TRANS-CODING
      11. BUILDING THE LANGUAGE MODEL
      12. RECOGNIZING SPEECH
      13. ALIGNING SPEECH
      14. ESTIMATING CAPTIONS
      15. OUTPUTTING CAPTIONS
      16. EVALUATION
      17. METHODOLOGY
      18. EXPERIMENTS
      19. RESULTS
      20. RELATED WORK
      21. CONCLUSION
    2. Chapter 13: Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. PROBLEM DESCRIPTION
      5. PROPOSED APPROACH
      6. EXPERIMENTS
      7. CONCLUSION
    3. Chapter 14: Content Adaptation in Mobile Learning Environments
      1. ABSTRACT
      2. INTRODUCTION
      3. ARMOLEO (ARCHITECTURE FOR MOBILE LEARNING OBJECTS)
      4. PERSONALIZATION MODEL
      5. COLLABORATION MODEL
      6. INTERACTION MODEL
      7. ALMA (A LEARNING CONTENT MODEL ADAPTATION)
      8. TECHNOLOGIES FOR CONTENT ADAPTATION
      9. ARCHITECTURAL SOLUTIONS FOR CONTENT ADAPTATION
      10. DESCRIBING MOBILE DEVICES CHARACTERISTICS
      11. MOBILE LEARNING OBJECTS FOR SECOND LANGUAGE LEARNING
      12. CONCLUSION
  10. Section 5: Multimedia Applications: Integration of Multimedia Management and E-Learning Technology
    1. Chapter 15: Board Game Supporting Learning Prim's Algorithm and Dijkstra's Algorithm
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. THE MINIMUM SPANNING TREE ALGORITHMS
      5. “TICKET TO RIDE”-ORIGINAL GAME
      6. THE DESIGN OF COMBINING MINIMUM SPANNING TREE THEORIES AND TICKET TO RIDE
      7. COMPARISON
      8. EXPERIMENT
      9. CONCLUSION
    2. Chapter 16: Iterative Usability Evaluation for an Online Educational Web Portal
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. METHODS
      5. FINDINGS
      6. DISCUSSION
      7. CONCLUSION
      8. APPENDIX A
    3. Chapter 17: The Factors that Influence E-Instructors’ Performance in Taiwan
      1. ABSTRACT
      2. INTRODUCTION
      3. THEORETICAL BACKGROUND
      4. METHODOLOGY
      5. DISCUSSION AND CONCLUSION
      6. RESEARCH LIMITATIONS
  11. Compilation of References
  12. About the Contributors