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公开(公告)号：US08903169B1
公开(公告)日：2014-12-02
申请号：US13430488
申请日：2012-03-26
IPC分类号： G06K9/62
CPC分类号： G06K9/6256 , G06F17/30247 , G06K9/00624 , G06T1/20 , G06T5/00 , G06T2207/20081
摘要： Techniques are disclosed relating to generating generic labels, translating generic labels to image pipeline-specific labels, and automatically adjusting images. In one embodiment, generic labels may be generated. Generic algorithm parameters may be generated based on training a regression algorithm with the generic labels. The generic labels may be translated to pipeline-specific labels, which may be usable to automatically adjust an image.
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公开(公告)号：US08666148B2
公开(公告)日：2014-03-04
申请号：US13036245
申请日：2011-02-28
IPC分类号： G06K9/62
CPC分类号： G06K9/6256 , G06K9/00 , G06K9/62 , G06T5/009 , G06T2207/10024 , G06T2207/20076 , G06T2207/20081
摘要： Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images.
摘要翻译： 公开了关于自动调整图像的技术。 在一个实施例中，可以基于用原始和调整图像的数据库训练的回归模型来自动调整图像。 在一个实施例中，可以基于由原始和调整图像的数据库和由不同用户调整的一组小图像训练的模型来自动调整图像。 在一个实施例中，可以基于由原始和调整图像的数据库训练的模型以及用户对小图像集的调整之间的预测差异以及基于原始和调整图像的数据库的预测调整来自动调整图像。
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公开(公告)号：US20130121566A1
公开(公告)日：2013-05-16
申请号：US13430459
申请日：2012-03-26
IPC分类号： G06K9/62
CPC分类号： G06T5/009 , G06K9/00275 , G06K9/00684 , G06T11/001 , G06T2207/20081 , G06T2207/20092 , H04N1/32251
摘要： Techniques are disclosed relating to modifying an automatically predicted adjustment. In one embodiment, the automatically predicted adjustment may be adjusted, for example, based on a rule. The automatically predicted adjustment may be based on a machine learning prediction. A new image may be globally adjusted based on the modified automatically predicted adjustment.
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公开(公告)号：US09008415B2
公开(公告)日：2015-04-14
申请号：US13430459
申请日：2012-03-26
CPC分类号： G06T5/009 , G06K9/00275 , G06K9/00684 , G06T11/001 , G06T2207/20081 , G06T2207/20092 , H04N1/32251
摘要： Techniques are disclosed relating to modifying an automatically predicted adjustment. In one embodiment, the automatically predicted adjustment may be adjusted, for example, based on a rule. The automatically predicted adjustment may be based on a machine learning prediction. A new image may be globally adjusted based on the modified automatically predicted adjustment.
摘要翻译： 公开了关于修改自动预测的调整的技术。 在一个实施例中，可以例如基于规则来调整自动预测的调整。 自动预测的调整可以基于机器学习预测。 可以根据经修改的自动预测调整来全局调整新图像。
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公开(公告)号：US20130129196A1
公开(公告)日：2013-05-23
申请号：US13036245
申请日：2011-02-28
IPC分类号： G06K9/62
CPC分类号： G06K9/6256 , G06K9/00 , G06K9/62 , G06T5/009 , G06T2207/10024 , G06T2207/20076 , G06T2207/20081
摘要： Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images.
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