Reading: Kim TCSVT’19 — Fast CU Depth Decision Using Neural Network (Fast HEVC Prediction)

LeNet-Like Architecture, 61.77% Average Time Reduction, 3.91% Increase in BD-Rate, Outperforms Liu ISCAS’16

Outline

1. Database Construction

Database Construction
Examples of Samples at Different Depths
Vector Data for (a) INTRTA CU, (b) INTER CU
Ranges for Different Encoding Info

2. Network Architecture

LeNet-Like Network Architecture

3. HEVC Implementation

HEVC Implementation

4. Experimental Results

BD-Rate(%) on HEVC Test Sequences Under RA Configuration (TS: Time Saving)
BD-Rate(%) on HEVC Test Sequences Under RA Configuration (TS: Time Saving)
Comparison with SOTA Approaches

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