Abstract | ||
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This paper presents a semantic labeling framework with geodesic propagation (GP). Under the same framework, three algorithms are proposed, including GP, supervised GP (SGP) for image, and hybrid GP (HGP) for video. In these algorithms, we resort to the recognition proposal map and select confident pixels with maximum probability as the initial propagation seeds. From these seeds, the GP algorithm ... |
Year | DOI | Venue |
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2014 | 10.1109/TIP.2014.2358193 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Labeling,Semantics,Algorithm design and analysis,Image color analysis,Image edge detection,Image segmentation | Computer vision,Pattern recognition,Image texture,Binary image,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Connected-component labeling,Minimum spanning tree-based segmentation,Geodesic,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
23 | 11 | 1057-7149 |
Citations | PageRank | References |
7 | 0.44 | 49 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
qing li | 1 | 20 | 2.00 |
Xiaowu Chen | 2 | 605 | 45.05 |
Yafei Song | 3 | 36 | 5.63 |
Yu Zhang | 4 | 36 | 7.56 |
Xin Jin | 5 | 162 | 17.20 |
Qinping Zhao | 6 | 363 | 43.20 |