Continuous Keyframe-Free Holographic Compression for Real-Time Audio-Video Streaming over Ultra-Low Bandwidth 2G Networks

This paper presents a real-time audio-video streaming system capable of delivering stable 640×480 resolution at 10/25 fps with synchronized audio over genuine 2G GSM - EDGE networks (9–200 kbps, high packet loss, high latency). The proposed method departs from conventional predictive codecs by eliminating keyframes entirely and introducing a continuous holographic compression model based on high-dimensional geometric embedding, adaptive multi-view projection, and sparse reconstruction. The system exhibits intrinsic resilience to packet loss and bandwidth degradation, achieving graceful quality scaling instead of freezing or collapse. Experimental observations further indicate that Forward Error Correction (FEC) is unnecessary and may reduce effective quality in this regime.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-27
DOI
https://doi.org/10.5281/zenodo.20406856
Primary Topic
Video Coding and Compression Technologies
Type
preprint
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preprint

Continuous Keyframe-Free Holographic Compression for Real-Time Audio-Video Streaming over Ultra-Low Bandwidth 2G Networks

Daniele Rufo
Zenodo (CERN European Organization for Nuclear Research)
Video Coding and Compression Technologies
preprint

Continuous Keyframe-Free Holographic Compression for Real-Time Audio-Video Streaming over Ultra-Low Bandwidth 2G Networks

Daniele Rufo
preprint en

Abstract

This paper presents a real-time audio-video streaming system capable of delivering stable 640×480 resolution at 10/25 fps with synchronized audio over genuine 2G GSM - EDGE networks (9–200 kbps, high packet loss, high latency). The proposed method departs from conventional predictive codecs by eliminating keyframes entirely and introducing a continuous holographic compression model based on high-dimensional geometric embedding, adaptive multi-view projection, and sparse reconstruction. The system exhibits intrinsic resilience to packet loss and bandwidth degradation, achieving graceful quality scaling instead of freezing or collapse. Experimental observations further indicate that Forward Error Correction (FEC) is unnecessary and may reduce effective quality in this regime.

Zenodo (CERN European Organization for Nuclear Research)
Video Coding and Compression Technologies
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