Invention Grant
US08350916B2 Image processing device, photographing device, reproducing device, integrated circuit, and image processing method
有权
图像处理装置,拍摄装置,再现装置,集成电路和图像处理方法
- Patent Title: Image processing device, photographing device, reproducing device, integrated circuit, and image processing method
- Patent Title (中): 图像处理装置,拍摄装置,再现装置,集成电路和图像处理方法
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Application No.: US12743900Application Date: 2008-12-02
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Publication No.: US08350916B2Publication Date: 2013-01-08
- Inventor: Jun Ohmiya , Masayuki Kimura , Hitoshi Yamada
- Applicant: Jun Ohmiya , Masayuki Kimura , Hitoshi Yamada
- Applicant Address: JP Osaka
- Assignee: Panasonic Corporation
- Current Assignee: Panasonic Corporation
- Current Assignee Address: JP Osaka
- Agency: Wenderoth, Lind & Ponack, LLP
- Priority: JP2007-312174 20071203
- International Application: PCT/JP2008/003553 WO 20081202
- International Announcement: WO2009/072264 WO 20090611
- Main IPC: H04N5/228
- IPC: H04N5/228 ; G03B17/00

Abstract:
To provide an image processing device that calculates a parameter used for correcting large video jitter with high accuracy even when the accuracy of a sensor for measuring a movement of a photographing device is low. The image processing device includes: a constraint condition generating unit (130) that generates a constraint condition using sensor information such that a parameter value falls within a range; and a parameter calculating unit (140) that calculates the parameter according to the constraint condition. The constraint condition generating unit (130) has: a feature vector generating unit (131) that generates a feature vector showing features of the sensor information; and a motion classifying unit (such as 132) that identifies a movement of the photographing device according to the feature vector generated by the feature vector generating unit (131), on the basis of an association between the feature vector and the movement of the photographing device, the association being obtained as a result of previously-executed machine learning of the feature vector and an actual movement of the photographing device. The constraint condition generating unit (130) determines the range corresponding to the information of the movement of the photographing device, the movement being identified by the motion classifying unit (such as 132).
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