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NVRC++ video codec offers scalable compression with faster decoding · 2 sources tracked

By PulseAugur Editorial · [3 sources] ·

Researchers have developed NVRC++, a novel neural video representation compression codec designed to overcome the limitations of existing methods in balancing complexity and quality. This new codec utilizes a lightweight implicit neural representation with multiple high-resolution feature grids, enabling scalability across a wide range of bitrates and quality levels without prohibitive computational overhead. NVRC++ offers four distinct complexity levels, supports real-time decoding, and achieves significantly faster decoding speeds compared to prior state-of-the-art neural video codecs while maintaining comparable compression performance. AI

IMPACT This research could lead to more efficient and scalable video compression techniques, impacting real-time applications and content delivery.

RANK_REASON Academic paper detailing a new technical approach.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

NVRC++ video codec offers scalable compression with faster decoding · 2 sources tracked

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COVERAGE [3]

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  2. arXiv cs.CV TIER_1 English(EN) · Ho Man Kwan, Tianhao Peng, Fan Zhang, Mike Nilsson, Andrew Gower, David Bull ·

    Enhanced Neural Video Representation Compression across Extreme Complexity and Quality Scales

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  3. arXiv cs.CV TIER_1 English(EN) · David Bull ·

    Enhanced Neural Video Representation Compression across Extreme Complexity and Quality Scales

    Implicit neural representations (INRs) have recently emerged as a promising approach to video compression, delivering competitive rate-distortion performance alongside rapid decoding. However, existing neural video codecs struggle to balance complexity and scalability. Lightweigh…

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