No reference video quality assessment with authentic distortions using 3-D deep convolutional neural network

INIS

• assessments 100%
• neural networks 100%
• prediction 33%
• space 16%
• datasets 16%
• industry 16%
• vectors 16%
• correlations 16%
• extraction 16%
• color 16%
• layers 16%
• manufacturing 16%
• configuration 16%
• transformations 16%
• cameras 16%
• hands 16%

Keyphrases

• Video Quality Assessment 100%
• No-reference Video Quality Assessment 100%
• Authentic Distortion 100%
• Color Space 25%
• Support Vector Regressor 25%
• Quality Prediction Model 25%
• Convolutional Features 25%
• Qualcomm 25%
• Video Quality Prediction 25%

Computer Science

• Deep Convolutional Neural Networks 100%
• Video Quality Assessment 100%
• Prediction Model 16%
• Video Streaming 16%
• Deep Feature 16%
• Support Vector 16%
• Pearson Correlation 16%
• Extracted Feature 16%
• Perceptual Quality 16%
• Convolutional Neural Network 16%