Abstract | ||
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We present a system for converting a fully panoramic (360 degree) video into a normal field-of-view (NFOV) hyperlapse for an optimal viewing experience. Our system exploits visual saliency and semantics to non-uniformly sample in space and time for generating hyperlapses. In addition, users can optionally choose objects of interest for customizing the hyperlapses. We first stabilize an input 360 d... |
Year | DOI | Venue |
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2018 | 10.1109/TVCG.2017.2750671 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Cameras,Semantics,Two dimensional displays,Visualization,Three-dimensional displays,Computational modeling,Rendering (computer graphics) | Computer vision,Computer science,Visualization,Salience (neuroscience),Spacetime,Image stabilization,Exploit,Smoothing,Artificial intelligence,Smoothness,Semantics | Journal |
Volume | Issue | ISSN |
24 | 9 | 1077-2626 |
Citations | PageRank | References |
14 | 0.55 | 21 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei-Sheng Lai | 1 | 164 | 12.87 |
Yujia Huang | 2 | 14 | 0.89 |
Neel Joshi | 3 | 1155 | 63.95 |
Christopher James Buehler | 4 | 14 | 0.55 |
Yang Ming-Hsuan | 5 | 15303 | 620.69 |
Sing Bing Kang | 6 | 5064 | 345.13 |