Accelerating Video Object Segmentation with Compressed Video

@article{Xu2022AcceleratingVO,
  title={Accelerating Video Object Segmentation with Compressed Video},
  author={Kai-yu Xu and Angela Yao},
  journal={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2022},
  pages={1332-1341}
}
  • Kai-yu XuAngela Yao
  • Published 26 July 2021
  • Computer Science
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We propose an efficient plug-and-play acceleration framework for semi-supervised video object segmentation by exploiting the temporal redundancies in videos presented by the compressed bitstream. Specifically, we propose a motion vector-based warping method for propagating segmentation masks from keyframes to other frames in a bidirectional and multi-hop manner. Additionally, we introduce a residual-based correction module that can fix wrongly propagated segmentation masks from noisy or… 

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