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Related Experiment Video

Updated: May 6, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

896

NVC-1B: Scaling up Neural Video Coding Models.

Chuanbo Tang, Xihua Sheng, Li Li

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |May 4, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Researchers explored large models for neural video coding, scaling up components and testing architectures. They developed NVC-1B, a model over 1 billion parameters, significantly improving video compression performance.

    Related Experiment Videos

    Last Updated: May 6, 2026

    Decoding Natural Behavior from Neuroethological Embedding
    08:00

    Decoding Natural Behavior from Neuroethological Embedding

    Published on: October 3, 2025

    896

    Area of Science:

    • Artificial Intelligence
    • Computer Vision
    • Video Compression

    Background:

    • Large models show promise in NLP and computer vision.
    • Large models for neural video coding remain largely unexplored.
    • Advancements in hardware enable on-device deployment of large models.

    Purpose of the Study:

    • To investigate the development of large-scale neural video coding models.
    • To analyze the impact of model size and architecture on video compression.
    • To introduce the first neural video coding model exceeding one billion parameters.

    Main Methods:

    • Gradual scaling of baseline model components: motion and contextual modules, and temporal context mining.
    • Evaluation of different architectures: CNN, mixed CNN-Transformer, and Transformer.
    • Design and implementation of the NVC-1B model.

    Main Results:

    • Model size scaling positively influences video compression performance.
    • Transformer-based architectures show potential for neural video coding.
    • The NVC-1B model demonstrates significant performance gains over state-of-the-art methods.

    Conclusions:

    • Large neural video coding models offer substantial improvements in compression efficiency.
    • The NVC-1B model represents a significant step towards next-generation video coding.
    • Future work may focus on further optimizing large models for enhanced video compression.