The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Video object cut and paste
Abstract
In this paper, we present a system for cutting a moving object out from a video clip. The cutout object sequence can be pasted onto another video or a background image. To achieve this, we first apply a new 3D graph cut based segmentation approach on the spatial-temporal video volume. Our algorithm partitions watershed presegmentation regions into foreground and background while preserving temporal coherence. Then, the initial segmentation result is refined locally. Given two frames in the video sequence, we specify two respective windows of interest which are then tracked using a bi-directional feature tracking algorithm. For each frame in between these two given frames, the segmentation in each tracked window is refined using a 2D graph cut that utilizes a local color model. Moreover, we provide brush tools for the user to control the object boundary precisely wherever needed. Based on the accurate binary segmentation result, we apply coherent matting to extract the alpha mattes and foreground colors of the object.
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Cites
Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,070
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
GrabCut: Interactive foreground extraction using iterated graph cuts
Rother, C., Kolmogorov, V., & Blake, A. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015720 · Cited by 5,703
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
Vincent, L., & Soille, P. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.87344 · Cited by 5,649
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
Boykov, Y. Y., & Jolly, M.-P. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937505 · Cited by 3,674
The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields
Black, M. J., & Anandan, P. (1996) · Computer Vision and Image Understanding · doi:10.1006/cviu.1996.0006 · Cited by 1,570
Graphcut textures: image and video synthesis using graph cuts
Kwatra, V., Schödl, A., Essa, I., Turk, G., & Bobick, A. (2003) · ACM SIGGRAPH 2003 Papers · doi:10.1145/1201775.882264 · Cited by 1,216
Li, Y., Sun, J., Tang, C.-K., & Shum, H.-Y. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015719 · Cited by 1,097
Self-citation"GrabCut": interactive foreground extraction using iterated graph cuts
Rother, C., Kolmogorov, V., & Blake, A. (2004) · ACM SIGGRAPH 2004 Papers · doi:10.1145/1186562.1015720 · Cited by 935
A Bayesian approach to digital matting
Chuang, Y.-Y., Curless, B., Salesin, D. H., & Szeliski, R. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990970 · Cited by 796
Cited by
Graph Cuts and Efficient N-D Image Segmentation
Boykov, Y., & Funka-Lea, G. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-7934-5 · Cited by 1,910
Jain, S. D., Xiong, B., & Grauman, K. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.228 · Cited by 361
Interactive segmentation of image volumes with Live Surface
Armstrong, C. J., Price, B. L., & Barrett, W. A. (2007) · Computers & Graphics · doi:10.1016/j.cag.2006.11.015 · Cited by 53
Metadata
- Authors
- Li, Y., Sun, J., & Shum, H.-Y.
- Venue
- ACM Transactions on Graphics
- Published
- 2005-07
- Volume
- 24
- Issue
- 3
- Pages
- 595-600
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2102354443
- Cited by
- 286
- References
- 19
- FWCI
- 26.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, Y., Sun, J., & Shum, H.-Y. (2005). Video object cut and paste. ACM Transactions on Graphics. https://doi.org/10.1145/1073204.1073234
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
