Основные понятия
The author proposes feature modulation techniques to address key challenges in neural video compression, enabling wide quality range support and rate control capabilities.
Аннотация
The paper introduces a powerful conditional coding-based NVC that tackles critical issues through feature modulation. It addresses the limitations of existing models by supporting a wider quality range and enhancing rate control capabilities. The proposed DCVC-FM codec outperforms traditional codecs and previous SOTA NVC models, showcasing significant advancements in NVC technology.
The content discusses the challenges faced by traditional video codecs and the potential breakthroughs offered by neural video compression. It highlights the importance of addressing quality range limitations and long prediction chain issues in NVC evolution. The proposed method leverages feature modulation to enhance compression efficiency, support multiple colorspaces, and enable low-precision inference for faster processing.
Key points include:
- Introduction of conditional coding-based NVC with feature modulation.
- Overcoming limitations of existing models through wide quality range support.
- Addressing long prediction chain challenges with temporal feature modulation.
- Achieving significant bitrate savings and MAC reduction compared to previous SOTA NVC models.
- Supporting both RGB and YUV colorspaces within a single model.
- Demonstrating improved implementation for low-precision inference and runtime efficiency.
Overall, the paper presents a comprehensive approach to advancing neural video compression technology through innovative feature modulation techniques.
Статистика
DCVC-FM can achieve an average bitrate saving of 29.7% over VTM under intra-period -1 setting.
DCVC-FM supports a wide quality range of about 11.4 dB PSNR in a single model.
DCVC-FM achieves 16% MAC reduction compared to DCVC-DC.
Цитаты
"Our DCVC-FM represents a significant step in the evolution of NVC technology."
"The proposed method leverages feature modulation to enhance compression efficiency."
"DCVC-FM outperforms traditional codecs and previous SOTA NVC models."