FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics

Keyphrases

• Computing Efficiency 100%
• Video Analytics 100%
• Deep Neural Network 100%
• FPGA-based 100%
• Hardware Accelerator 100%
• Deep Learning Acceleration 100%
• Energy Consumption 50%
• Energy Efficiency 50%
• Artificial Intelligence 50%
• Smart Devices 50%
• Rapid Development 50%
• Reconfiguration 50%
• Energy Consumption Reduction 50%
• Operating Environment 50%
• Processing Time 50%
• Computing Capabilities 50%
• Time Consumption 50%
• Edge Computing System 50%
• Small Animal Model 50%
• Power Efficiency 50%
• Benchmark Testing 50%
• Power Processing 50%
• High Energy Efficiency 50%
• Computing Task 50%
• Consumption Time 50%
• Application Specifications 50%
• AI Techniques 50%
• Autonomous Robot Systems 50%
• DL Algorithms 50%
• Flexible Hardware 50%
• Specification Environments 50%
• Runtime Reconfiguration 50%
• Adaptive Support 50%
• Additional Power 50%
• Deep Neural Network Inference 50%

Computer Science

• Deep Learning Method 100%
• Video Analytics 100%
• Deep Neural Network 100%
• Field Programmable Gate Array 100%
• Computer Hardware 66%
• Artificial Intelligence 66%
• Energy Consumption 66%
• Energy Efficiency 33%
• Smart Device 33%
• Computing Platform 33%
• Processing Time 33%
• Rapid Development 33%
• Neural Network Model 33%
• Edge Computing 33%
• Operating Environment 33%
• Time Consumption 33%
• hardware acceleration 33%
• Network Inference 33%
• Hardware Accelerator 33%
• Time Reconfiguration 33%