It contains specific motion patterns that challenge motion estimation algorithms.
The BVI-DVC dataset was developed by researchers at the University of Bristol to provide a diverse set of sequences for training and testing deep learning-based video codecs. While standard datasets like HEVC Common Test Sequences are great for traditional benchmarks, they are often too small for modern neural network training. serves as a vital data point because: b5_106.mp4
Are you working with the BVI-DVC dataset or building your own video codec? It contains specific motion patterns that challenge motion
Test if a specific change in the neural network architecture improves the reconstruction of this specific scene. b5_106.mp4
Measure how much data can be stripped away before a human eye (or a mathematical model) notices a drop in quality.