Error Concealment

Error concealment techniques aim to reconstruct lost or corrupted data in multimedia signals (images, video, audio) without retransmission, crucial for real-time applications with strict latency constraints. Current research focuses on improving the efficiency and quality of reconstruction using advanced algorithms like kernel-based minimum mean square error estimators and frequency-selective extrapolation, often incorporating neural network architectures for joint encoder-decoder optimization. These advancements lead to significant improvements in perceived quality and reduced computational burden, impacting the quality of experience in video conferencing, streaming services, and other applications where data loss is unavoidable.