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Visual Information Processing in Wireless Sensor Networks

Book Description

Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications provides a central source of reference on visual information processing in wireless sensor network environments and its technology, application, and society issues. This book is an important resource for researchers and academics working in the interdisciplinary domains of wireless sensor network technology and multimedia technology and its related areas, which include image processing, pervasive computing, embedded systems, and computer networks.

Table of Contents

  1. Title Page
  2. Copyright Page
  3. Editorial Advisory Board
  4. List Of Reviewers
  5. Preface
  6. Acknowledgment
  7. Section 1: Foundations of Visual Information Processing in Wireless Sensor Networks
    1. Chapter 1: Visual Sensor Network Technology and Its Applications
      1. Abstract
      2. Introduction
      3. Vsn Technology
      4. Energy Efficient Information Processing
      5. Collaborative Information Processing
      6. Hardware Technology And Applications
      7. Conclusion
  8. Section 2: Energy Efficient Information Processing and Transmission in VSN
    1. Chapter 2: Energy Efficiency and Reliability Considerations of a Compressive Sensing Technique in Wireless Visual Sensor Networks
      1. Abstract
      2. Introduction
      3. Background On Compressive Sensing
      4. Image Quality Evaluation
      5. Energy Efficient Sparsity Control
      6. Spatial Domain Compressive Sensing
      7. Frequency Domain Compressive Sensing
      8. Reducing The Effect Of Missing Packets
      9. Conclusion
    2. Chapter 3: Wireless Video Sensor Networks
      1. Abstract
      2. Introduction: Wvsns And Dvc
      3. Theoretical Foundations Of Dvc
      4. Basic Wyner-Ziv Video Coding Architecture
      5. Stanford Wyner-Ziv Video Coding Solution
      6. Architectural Developments
      7. Issues On Frame Based
      8. Some Recent Advances
      9. General Approaches
      10. Region Based Adaptive Dvc
      11. Single View Dvc To Multiview Dvc
      12. Conclusion
    3. Chapter 4: Wavelet Filters Evaluation in Power Constrained Visual Sensor Networks
      1. Abstract
      2. Introduction
      3. Basic Background
      4. Vsn Requirements And Characteristics
      5. Factors Influencing Wbc In Vsn
      6. Simulation Parameters Setup
      7. Objective Evaluation
      8. Subjective Evaluation
      9. Discussion
      10. Future Research Directions
      11. Conclusion
    4. Chapter 5: Low Level Representation of Data for Visual Sensor Network
      1. Abstract
      2. Introduction
      3. Visual Data Filtering For Visual Sensor Network
      4. Video Predictive Encoding For Visual Sensor Network
      5. Fast Search Techniques
      6. Future Research Directions
      7. Conclusion
    5. Chapter 6: Multimedia Transmission over Wireless Sensor Networks
      1. Abstract
      2. Introduction
      3. Wireless Sensor Networks Overview
      4. Multimedia Information
      5. Current And Further Research Directions
      6. Conclusion
    6. Chapter 7: Energy-Efficient Backoff Algorithms for Wireless Sensor Networks
      1. Abstract
      2. Introduction
      3. Backoff Algorithms
      4. Conclusion
  9. Section 3: Collaborative Information Processing in VSN
    1. Chapter 8: Visual Human Tracking in Wireless Cameras Networks A SURF-Based Approach
      1. Abstract
      2. Introduction
      3. Background
      4. Tracking Based On The Improved Surf
      5. Conclusion
      6. Future Research Directions
    2. Chapter 9: Object Association through Multiple Camera Collaboration for Large-Scale Surveillance System
      1. Abstract
      2. Introduction
      3. Background And Problem Description
      4. Non-Ideal Parameters In Homographic Lines Based Association
      5. Multiple Object Association
      6. Simulation And Analysis
      7. Conclusion
    3. Chapter 10: High-Level Information Fusion in Visual Sensor Networks
      1. Abstract
      2. Introduction
      3. Information Fusion In Sensor Networks
      4. Information Fusion In Visual Sensor Networks
      5. Exploitation Of Information And Knowledge In Information Fusion
      6. The Role Of Contextual Information In High-Level Information Fusion: Understanding And Using Context
      7. Visual Sensor Network Applications: Context-Aware Surveillance Systems
      8. Future Research Directions In Sensor-Network-Based Contextual Exploitation
      9. Conclusion
    4. Chapter 11: Quantized Variational Filtering for Bayesian Inference in Wireless Sensor Networks
      1. Abstract
      2. Introduction
      3. Related Work
      4. Modeling And Problem Statement For Target Tracking
      5. Bayesian Estimation Via A Qvf Algorithm For Target Tracking
      6. Maximum Mutual Information Under Energy Constraints-Based Sensor Selection Approach
      7. Adaptive Quantization Optimization
      8. Simulation Results Analysis
      9. Conclusion
      10. Appendix A. Variational Calculus
  10. Section 4: Hardware Technology and Applications in VSN
    1. Chapter 12: Using Line Cameras for Monitoring and Surveillance Sensor Networks
      1. Abstract
      2. Introduction
      3. Profiling Dynamic Flow
      4. Sampling Line Selection
      5. Long-Lasting Robust Sensing
      6. Scalable Line Sensor Network
      7. Conclusion
    2. Chapter 13: Distributed Visual Surveillance with Resource Constrained Embedded Systems
      1. Abstract
      2. Introduction
      3. State Of The Art
      4. Principles Of Line Sensor
      5. Software Based Line Sensor
      6. One Dimensional Image Processing Algorithms
      7. Conclusion
    3. Chapter 14: FPGA Technology for Implementation in Visual Sensor Networks
      1. Abstract
      2. Introduction
      3. Strip-Based Mips Processor
      4. Visual Saliency Model
      5. Simulation Results
      6. Conclusion
    4. Chapter 15: Applications for Wireless Visual Sensor Networks
      1. Abstract
      2. Introduction
      3. Interaction Design
      4. Future Research Directions
      5. Conclusion
    5. Chapter 16: Visual Sensor Network Processing and Preventative Steganalysis
      1. Abstract
      2. Introduction
      3. Background
      4. Preventative Steganalysis For Wvsns
      5. Future Research Directions
      6. Conclusion
  11. Compilation of References
  12. About the Contributors
  13. Index