GAN-based Effective Bit Depth Adaptation for Perceptual Video Compression

Engineering

• Bit Depth 100%
• Effective Bit 100%
• Test Sequence 50%
• Convolutional Neural Network 50%
• Bit Rate 25%
• Metrics 25%
• Test Condition 25%
• Coding Gain 25%
• Perceptual Quality 25%
• Random Access 25%
• Network Model 25%
• Loss Function 25%
• Temporal Resolution 25%

Computer Science

• Generative Adversarial Networks 100%
• Video Compression 100%
• Convolutional Neural Network 66%
• Neural Network Model 33%
• Random Access 33%
• Perceptual Quality 33%
• Test Condition 33%
• Temporal Resolution 33%