# Block Erasure-Aware Semantic Multimedia Compression via JSCC Autoencoder

arXiv: https://arxiv.org/abs/2601.20707 · HTML: https://mlsanity.com/paper/2601.20707/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jan 2026.

## Built on by (most cited first, 1 of 1)

- [Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission](https://mlsanity.com/paper/2609.16279/) (2026)

## Abstract (arXiv)

We present an AI-based framework for semantic transmission of multimedia data over band-limited, time-varying channels. The method targets scenarios where large content is split into multiple packets, with an unknown number potentially dropped due to channel impairments. Using joint source-channel coding (JSCC), our approach achieves reliable semantic reconstruction with graceful quality degradation as channel conditions worsen, eliminating the need for retransmissions that cause unacceptable delays in latency-sensitive applications such as video conferencing and robotic control. The framework is compatible with existing network protocols and further enables intelligent congestion control and unequal error protection. A tunable design parameter allows balancing robustness at low channel quality against fidelity at high channel quality. Experiments demonstrate significant robustness improvement over state-of-the-art baselines in both image and video domains.