Thesis

Outline

The outline below is subjected to further modifications whenever needed.

  • Abstract

  • Acknowledgements

  • List of Tables (shall not be shown in TOC)

  • List of Figures (shall not be shown in TOC)

  • Abbreviations (shall not be shown in TOC)

  • Introduction

    • Motivation and the Proposed Algorithm
    • Contributions and Organization of the Following Chapters

  • Background

    • Video Coding
    • Deep Learning
    • Related Work

  • Prepare the Data for Deep Learning

    • Introduction
    • Collecting the Data
    • Pre-processing the Data
    • Visualizing the Data
    • Discussion
    • Conclusion

  • Train the Deep Model for Prediction

    • Introduction
    • The Architecture of the Deep Convolutional Neural Network
    • The Hyper-parameters of the Deep Convolutional Neural Network
    • Stopping criteria and Training Results
    • Discussion
    • Conclusion

  • Evaluate the Learned Deep Model

    • Introduction

    • Evaluate the Deep Model trained using blocks of size 08x08

    • Evaluate the Deep Model trained using blocks of size 16x16

      • Evaluate the Deep Model on blocks of size 16x16
      • Evaluate the Deep Model on blocks of size 32x32

    • Discussion

    • Conclusion

  • Employ the Learned Deep Model

    • Introduction
    • The Analysis and Optimisation for the Time of Prediction
    • The Integration of the Learned Model
    • Simulation Results
    • Discussion
    • Conclusion

  • Conclusion

  • Bibliography

Abstract

The Abstract below is subjected to further modifications whenever needed.

session_one

Figure 1. Abstract Screen Capture.