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- W2059103669 abstract "Correct image orientation is often assumed by common imaging applications such as enhancement, browsing, andretrieval. However, the information provided by camera metadata is often missing or incorrect. In these casesmanual correction is required, otherwise the images cannot be correctly processed and displayed. In this workwe propose a system which automatically detects the correct orientation of digital photographs. The systemexploits the information provided by a face detector and a set of low-level features related to distributions in theimage of color and edges. To prove the effectiveness of the proposed approach we evaluated it on two datasetsof consumer photographs." @default.
- W2059103669 created "2016-06-24" @default.
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- W2059103669 date "2010-01-17" @default.
- W2059103669 modified "2023-10-18" @default.
- W2059103669 title "Image orientation detection using low-level features and faces" @default.
- W2059103669 doi "https://doi.org/10.1117/12.838604" @default.
- W2059103669 hasPublicationYear "2010" @default.
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