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|Title:||Video segmentation: Propagation, validation and aggregation of a preceding graph||Authors:||Liu, S.
|Issue Date:||2008||Citation:||Liu, S.,Dong, G.,Chye, H.Y.,Sim, H.O. (2008). Video segmentation: Propagation, validation and aggregation of a preceding graph. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR : -. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2008.4587426||Abstract:||In this work, video segmentation is viewed as an efficient intra-frame grouping temporally reinforced by a strong inter-frame coherence. Traditional approaches simply regard pixel motions as another prior in the MRF-MAP framework. Since pixel pre-grouping is inefficiently performed on every frame, the strong correlation between inter-frame groupings is largely underutilized. We exploit the inter-frame correlation to propagate trustworthy groupings from the previous frame. A preceding graph is constructed and labeled for the previous frame. It is temporally propagated to the current frame and validated by similarity measures. All unlabeled subgraphs are spatially aggregated for the final grouping. Experimental results show that the proposed approach is highly efficient for spatio-temporal segmentation. It makes good use of temporal correlation and produces satisfactory grouping results. ©2008 IEEE.||Source Title:||26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR||URI:||http://scholarbank.nus.edu.sg/handle/10635/72159||ISBN:||9781424422432||DOI:||10.1109/CVPR.2008.4587426|
|Appears in Collections:||Staff Publications|
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