EV-NVC: Efficient Variable bitrate Neural Video Compression
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866909884342075392 |
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| author | Hu, Yongcun Zhai, Yingzhen Luo, Jixiang Dai, Wenrui Zhang, Dell Xiong, Hongkai Li, Xuelong |
| author_facet | Hu, Yongcun Zhai, Yingzhen Luo, Jixiang Dai, Wenrui Zhang, Dell Xiong, Hongkai Li, Xuelong |
| contents | Training neural video codec (NVC) with variable rate is a highly challenging task due to its complex training strategies and model structure. In this paper, we train an efficient variable bitrate neural video codec (EV-NVC) with the piecewise linear sampler (PLS) to improve the rate-distortion performance in high bitrate range, and the long-short-term feature fusion module (LSTFFM) to enhance the context modeling. Besides, we introduce mixed-precision training and discuss the different training strategies for each stage in detail to fully evaluate its effectiveness. Experimental results show that our approach reduces the BD-rate by 30.56% compared to HM-16.25 within low-delay mode. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_01590 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | EV-NVC: Efficient Variable bitrate Neural Video Compression Hu, Yongcun Zhai, Yingzhen Luo, Jixiang Dai, Wenrui Zhang, Dell Xiong, Hongkai Li, Xuelong Multimedia Training neural video codec (NVC) with variable rate is a highly challenging task due to its complex training strategies and model structure. In this paper, we train an efficient variable bitrate neural video codec (EV-NVC) with the piecewise linear sampler (PLS) to improve the rate-distortion performance in high bitrate range, and the long-short-term feature fusion module (LSTFFM) to enhance the context modeling. Besides, we introduce mixed-precision training and discuss the different training strategies for each stage in detail to fully evaluate its effectiveness. Experimental results show that our approach reduces the BD-rate by 30.56% compared to HM-16.25 within low-delay mode. |
| title | EV-NVC: Efficient Variable bitrate Neural Video Compression |
| topic | Multimedia |
| url | https://arxiv.org/abs/2511.01590 |