Date: Thursday, May 27
Start Time: 1:00 pm
End Time: 1:30 pm
Video data is abundant and being generated at ever-increasing rates. Analyzing video with AI can provide valuable insights and capabilities for many applications ranging from autonomous driving and smart cameras to smartphones and extended reality. However, as video resolution and frame rates increase while AI video perception models become more complex, running these workloads in real-time is becoming more challenging. This presentation will explore the latest research that is enabling efficient video perception while maintaining neural network model accuracy.