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New dataset benchmarks quality assessment for neural video codecs

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced a new dataset and benchmark for evaluating the quality of neural video codecs (NVCs). This dataset, collected through crowd-sourced pairwise comparisons, addresses the challenges in assessing compression quality for NVCs, which leverage deep learning for video compression. The resource is intended to aid in the development and benchmarking of video quality metrics specifically designed for these advanced codecs. AI

IMPACT Provides a new resource for developing and evaluating advanced video compression techniques using deep learning.

RANK_REASON The cluster describes a new dataset and benchmark for evaluating neural video codecs, which is a research contribution. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset benchmarks quality assessment for neural video codecs

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The cluster describes a new dataset and benchmark for evaluating neural video codecs, which is a research contribution. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Nikolay Safonov, Nikita Gornostaev, Alexandra Dubonos, Dmitriy Vatolin ·

    Neural video codecs quality assessment dataset and benchmark

    arXiv:2608.29331v1 Announce Type: new Abstract: Video traffic constitutes a significant share of global web traffic. To reduce its volume, video codecs have been developed and continuously improved. While the industry has achieved substantial progress in traditional video coding,…

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