CNN predicts video conferencing quality from encrypted packet data

Researchers have developed a novel framework for predicting the quality of experience (QoE) in encrypted video conferencing traffic. This system utilizes a convolutional neural network (CNN) that analyzes only packet sizes, bypassing the need for content decryption. Experiments on datasets from WhatsApp and Zoom demonstrated significant improvements over existing QoE prediction models, offering a simple yet effective solution for internet service providers. AI

RANK_REASON Research paper published on arXiv detailing a new method for QoE prediction. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Brisque
• CNN
• Google Meet
• Michael S Sidorov
• Telegram
• WhatsApp
• Zoom

• paper
• infra

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