A Variational Model for Gradient-Based Video Editing

被引:0
|
作者
Rida Sadek
Gabriele Facciolo
Pablo Arias
Vicent Caselles
机构
[1] Universitat Pompeu Fabra,
[2] CMLA,undefined
[3] ENS Cachan,undefined
来源
International Journal of Computer Vision | 2013年 / 103卷
关键词
Video editing; Gradient based; Variational methods;
D O I
暂无
中图分类号
学科分类号
摘要
In this work we present a gradient-based variational model for video editing, addressing the problem of propagating gradient-domain information along the optical flow of the video. The resulting propagation is temporally consistent and blends seamlessly with its spatial surroundings. In addition, the presented model is able to cope with additive illumination changes and handles occlusions/dis-occlusions. The problem of propagation along the optical flow arises in different video editing applications. In this work we consider the application where a user edits a frame by modifying the texture of an object’s surface and wishes to propagate this editing throughout the video.
引用
收藏
页码:127 / 162
页数:35
相关论文
共 50 条
  • [41] Automated Video Editing Based on Learned Styles Using LSTM-GAN
    Huang, Hsin-, I
    Shih, Chi-Sheng
    Yang, Zi-Lin
    37TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, 2022, : 73 - 80
  • [42] A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model
    Hu, Panwen
    Xiao, Nan
    Li, Feifei
    Chen, Yongquan
    Huang, Rui
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 6441 - 6450
  • [43] An Analytic Gradient-Based Inverse Lithography Approach for Partially-Coherent Double-Exposure Lithography
    Xiong, Wei
    Zhang, Jinyu
    Tsai, Min-Chun
    Wang, Yan
    Yu, Zhiping
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2010, 7 (01) : 157 - 164
  • [44] Gradient-Guided Local Disparity Editing
    Scandolo, Leonardo
    Bauszat, Pablo
    Eisemann, Elmar
    COMPUTER GRAPHICS FORUM, 2019, 38 (01) : 394 - 404
  • [45] Coming into Being and Actively Promoting-Video Editing in Video Producing
    Cao, Yimei
    2011 INTERNATIONAL CONFERENCE ON EDUCATION SCIENCE AND MANAGEMENT ENGINEERING (ESME 2011), VOLS 1-5, 2011, : 1036 - 1038
  • [46] Automated Video Editing for Aesthetic Quality Improvement
    Choi, Jun-Ho
    Lee, Jong-Seok
    MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCE, 2015, : 1003 - 1006
  • [47] ExpressEdit: Video Editing with Natural Language and Sketching
    Tilekbay, Bekzat
    Yang, Saelyne
    Lewkowicz, Michal
    Suryapranata, Alex
    Kim, Juho
    COMPANION PROCEEDINGS OF 2024 29TH ANNUAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2024 COMPANION, 2024, : 50 - 53
  • [48] Unwrap mosaics: A new representation for video editing
    Rav-Acha, Alex
    Kohli, Pushmeet
    Rother, Carsten
    Fitzgibbon, Andrew
    ACM TRANSACTIONS ON GRAPHICS, 2008, 27 (03):
  • [49] QuickCut: An Interactive Tool for Editing Narrated Video
    Anh Truong
    Berthouzoz, Floraine
    Li, Wilmot
    Agrawala, Maneesh
    UIST 2016: PROCEEDINGS OF THE 29TH ANNUAL SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, 2016, : 497 - 507
  • [50] Layered Neural Atlases for Consistent Video Editing
    Kasten, Yoni
    Ofri, Dolev
    Wang, Oliver
    Dekel, Tali
    ACM TRANSACTIONS ON GRAPHICS, 2021, 40 (06):