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Intelligent Image and Video Interpretation

Book Description

Due to increasing potential in real-world applications such as visual communications, computer assisted biomedical imaging, and video surveillance, image and video interpretations have become an area of growing interest. Intelligent Image and Video Interpretation: Algorithms and Applications covers all aspects of image and video analysis from low-level early visions to high-level recognition. This publication highlights how these techniques have become applicable and will prove to be a valuable tool for researchers, professionals, and graduate students working or studying the fields of imaging and video processing.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  5. Preface
  6. Acknowledgment
  7. Chapter 1: Intelligent Video Authentication
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. VIDEO TAMPERING
    4. 3. AUTHENTICATION TECHNIQUES
    5. 4. PROPOSED METHODOLOGY
    6. 5. EXPERIMENTAL RESULTS AND DISCUSSION
    7. 6. CHALLENGING SCENARIOS FOR VIDEO AUTHENTICATION
    8. 7. CONCLUSION AND FUTURE DIRECTION
  8. Chapter 2: Audio and Visual Speech Recognition Recent Trends
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. LINEAR PREDICTIVE CODES
    5. PERCEPTUAL LINEAR PREDICTION
    6. MEL-FREQUENCY CEPSTRAL COEFFICIENTS
    7. FACE DETECTION AND SEGMENTATION
    8. REGION OF INTEREST (ROI) SEGMENTATION (MOUTH)
    9. VISUAL FEATURE EXTRACTION
    10. OBJECT TRACKING ALGORITHMS
    11. MINIMIZATION OF COSTS, TIME, AND PROCESSING POWER IN AUDIO VISUAL SPEECH PROCESSING
    12. FUTURE RESEARCH DIRECTION
    13. CONCLUSION
  9. Chapter 3: A Survey of Human Activity Interpretation in Image and Video Sequence
    1. ABSTRACT
    2. INTRODUCTION
    3. RESEARCH PROJECTS FOR HUMAN ACTIVITY INTERPRETATION
    4. HUMAN DETECTION AND TRACKING IN IMAGE AND VIDEO SEQUENCE
    5. HUMAN ACTIVITY INTERPRETATION
    6. FUTURE RESEARCH DIRECTIONS
  10. Chapter 4: Review of Sparsity Known and Blind Sparsity Greedy Algorithms for Compressed Sensing
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SPARSITY KNOWN GREEDY ALGORITHMS
    4. 3. BLIND SPARSITY GREEDY ALGORITHMS
    5. 4. EXPERIMENTS
  11. Chapter 5: Adaptive Edge-Preserving Smoothing and Detail Enhancement for H.263 and H.264 Video
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. BILATERAL FILTERING
    5. PROPOSED PRE-PROCESSING ALGORITHM USING TRILATERAL FILTERING
    6. EXPERIMENTAL RESULTS AND DISCUSSIONS
    7. FUTURE RESEARCH
    8. CONCLUSION
  12. Chapter 6: Thresholding Selection Based on Fuzzy Entropy and Bee Colony Algorithm for Image Segmentation
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BEE COLONY FEATURE
    4. 3. MINIMUM FUZZY ENTROPY
    5. 4. BEE COLONY OPTIMIZATION ALGORITHM
    6. 5. EXPERIMENTAL RESULTS
    7. 6. CONCLUSION
  13. Chapter 7: Image Denoising via 2-D FIR Filtering Approach
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  14. Chapter 8: Optimization of Image Zernike Moments Shape Feature Based on Evolutionary Computation
    1. ABSTRACT
    2. INTRODUCTION
    3. ZERNIKE MOMENTS
    4. OPTIMIZATION ALGORITHM BASE ON EVOLUTIONARY COMPUTATION
    5. EXPERIMENT RESULTS
    6. CONCLUSION
  15. Chapter 9: Dimension Reduction of Local Manifold Learning Algorithm for Hyperspectral Image Classification
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DIMENSION REDUCTION AND MANIFOLD LEARNING
    4. 3. EXPERIMENT AND RESULTS
    5. 4. DISCUSSION AND CONCLUSION
  16. Compilation of References
  17. About the Contributors