التفاصيل البيبلوغرافية
| العنوان: |
Content-Adaptive Motion Rate Adaption for Learned Video Compression |
| المؤلفون: |
Lin, Chih-Hsuan, Chen, Yi-Hsin, Peng, Wen-Hsiao |
| سنة النشر: |
2023 |
| المجموعة: |
ArXiv.org (Cornell University Library) |
| مصطلحات موضوعية: |
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition |
| الوصف: |
This paper introduces an online motion rate adaptation scheme for learned video compression, with the aim of achieving content-adaptive coding on individual test sequences to mitigate the domain gap between training and test data. It features a patch-level bit allocation map, termed the $\alpha$-map, to trade off between the bit rates for motion and inter-frame coding in a spatially-adaptive manner. We optimize the $\alpha$-map through an online back-propagation scheme at inference time. Moreover, we incorporate a look-ahead mechanism to consider its impact on future frames. Extensive experimental results confirm that the proposed scheme, when integrated into a conditional learned video codec, is able to adapt motion bit rate effectively, showing much improved rate-distortion performance particularly on test sequences with complicated motion characteristics. ; Comment: Accepted by PCS 2022 |
| نوع الوثيقة: |
text |
| اللغة: |
unknown |
| العلاقة: |
http://arxiv.org/abs/2302.06293Test |
| الإتاحة: |
http://arxiv.org/abs/2302.06293Test |
| رقم الانضمام: |
edsbas.17724157 |
| قاعدة البيانات: |
BASE |
