I. INTRODUCTION

II. PROBLEM STATEMENT

III. DEEP LEARNING APPROACHES
A. Deep Learning Basics
C. Unsupervised Video Summarization
D. Weakly-supervised Video Summarization
E. Multimodal Approaches
F. General remarks on deep learning approaches

IV. EVALUATING VIDEO SUMMARIZATION
A. Datasets
B. Evaluation protocols and measures

V. PERFORMANCE COMPARISONS
A. Quantitative comparisons
B. Qualitative Comparisons and Demos

VI. FUTURE DIRECTIONS

VII. CONCLUSIONS