Flow and Color Inpainting for Video Completion

被引:15
|
作者
Strobel, Michael [1 ]
Diebold, Julia [1 ]
Cremers, Daniel [1 ]
机构
[1] Tech Univ Munich, D-80290 Munich, Germany
来源
PATTERN RECOGNITION, GCPR 2014 | 2014年 / 8753卷
关键词
Video completion; Video inpainting; Disocclusion; Temporal consistency; Segmentation; Optical flow; OBJECT REMOVAL; IMAGE;
D O I
10.1007/978-3-319-11752-2_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a framework for temporally consistent video completion. To this end we generalize the exemplar-based inpainting method of Criminisi et al. [7] to video inpainting. Specifically we address two important issues: Firstly, we propose a color and optical flow inpainting to ensure temporal consistency of inpainting even for complex motion of foreground and background. Secondly, rather than requiring the user to hand-label the inpainting region in every single image, we propose a flow-based propagation of user scribbles from the first to subsequent video frames which drastically reduces the user input. Experimental comparisons to state-of-the-art video completion methods demonstrate the benefits of the proposed approach.
引用
收藏
页码:293 / 304
页数:12
相关论文
共 50 条
  • [1] Inertia-Guided Flow Completion and Style Fusion for Video Inpainting
    Zhang, Kaidong
    Fu, Jingjing
    Liu, Dong
    Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2022, 2022-June : 5972 - 5981
  • [2] Inertia-Guided Flow Completion and Style Fusion for Video Inpainting
    Zhang, Kaidong
    Fu, Jingjing
    Liu, Dong
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 5972 - 5981
  • [3] LOW-RANK QUATERNION TENSOR COMPLETION FOR COLOR VIDEO INPAINTING VIA A NOVEL FACTORIZATION STRATEGY
    Qin, Zhenzhi
    Ming, Zhenyu
    Sun, Defeng
    Zhang, Liping
    MATHEMATICS OF COMPUTATION, 2024,
  • [4] Divide-and-Conquer Completion Network for Video Inpainting
    Wu, Zhiliang
    Sun, Changchang
    Xuan, Hanyu
    Zhang, Kang
    Yan, Yan
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 33 (06) : 2753 - 2766
  • [5] Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting
    Jia, Zhigang
    Jin, Qiyu
    Ng, Michael K.
    Zhao, Xi-Le
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 31 : 3868 - 3883
  • [6] Video completion via spatio-temporally consistent motion inpainting
    1600, Information Processing Society of Japan (06):
  • [7] Stereoscopic inpainting: Joint color and depth completion from stereo images
    Wang, Liang
    Jin, Hailin
    Yang, Ruigang
    Gong, Minglun
    2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 2822 - +
  • [8] Deep Flow-Guided Video Inpainting
    Xu, Rui
    Li, Xiaoxiao
    Zhou, Bolei
    Loy, Chen Change
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 3718 - 3727
  • [9] Flow-Guided Transformer for Video Inpainting
    Zhang, Kaidong
    Fu, Jingjing
    Liu, Dong
    COMPUTER VISION - ECCV 2022, PT XVIII, 2022, 13678 : 74 - 90
  • [10] Semantic-Guided Completion Network for Video Inpainting in Complex Urban Scene
    Wang, Jianan
    Xuan, Hanyu
    Wu, Zhiliang
    PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT XI, 2024, 14435 : 224 - 236