1 INTRODUCTION

2 BACKGROUND

3 A TYPICAL PIPELINE

4 DATASETS

5 CONVENTIONAL APPROACHES WITH HAND-CRAFTED FEATURES

6 DEEP LEARNING APPROACHES

7 EVALUATION CRITERIA AND EXISTING RESULTS

8 EXPERIMENTS ON DEEP LEARNING SETTINGS

9 IMAGE AESTHETIC MANIPULATION

10 CONCLUSION AND POTENTIAL DIRECTIONS