Prediction of visual saliency in video with deep CNNs

Keyphrases

• Residual Motion 100%
• Deep Convolutional Neural Network (deep CNN) 100%
• Visual Saliency 100%
• Object Recognition 50%
• Quality Assessment 25%
• Colour Use 25%
• Compression Techniques 25%
• Video Stream 25%
• Human Visual System 25%
• Feature Integration Theory 25%
• Visual Expertise 25%
• Color Value 25%
• Video Compression 25%
• Multimedia Services 25%
• Mobile Context 25%
• Bottom-up Features 25%
• Spatial Input 25%
• Central Bias 25%
• Deep Convolutional Neural Network Architecture 25%
• Egocentric Video 25%
• Dynamic Content 25%
• Contrast Map 25%
• Salient Areas 25%
• Egocentric Perspective 25%
• Human Visual Attention 25%

Computer Science

• Convolutional Neural Network 100%
• Deep Convolutional Neural Networks 100%
• Compression Technique 33%
• Neural Network Architecture 33%
• Object Recognition 33%
• Visual Attention 33%
• Quality Assessment 33%
• Human Visual System 33%
• Video Compression 33%
• Target Application 33%
• Visual Saliency Model 33%
• Multimedia Service 33%
• Dynamic Content 33%