Exploring visual and motion saliency for automatic video object extraction
This paper presents a saliency-based video object extraction (VOE) framework. The proposed framework aims to automatically extract foreground objects of interest without any user interaction or the use of any training data (i.e., not limited to any particular type of object). To separate foreground...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 7 vom: 17. Juli, Seite 2600-10
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| 1. Verfasser: |
Li, Wei-Te
(VerfasserIn) |
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| Weitere Verfasser: |
Chang, Haw-Shiuan,
Lien, Kuo-Chin,
Chang, Hui-Tang,
Wang, Yu-Chiang Frank |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2013
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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