公开(公告)号：US20160247044A1

公开(公告)日：2016-08-25

申请号：US15141714

申请日：2016-04-28

Applicant: Facebook, Inc.

Inventor： Shizhe Shen ,  Yael Maguire ,  Damian Kowalewski ,  Viktor Vladimirovich Passichenko

IPC: G06K9/62 ,  H04N5/225 ,  H04N1/00 ,  G06K9/66

CPC classification number: G06K9/6256 ,  G06F17/30247 ,  G06K9/66 ,  H04N1/00204 ,  H04N5/2257 ,  H04N2201/0084

Abstract: Some embodiments include a method of operating a computing device to learn user preferences of how to process digital images. The computing device can record a user image selection, associated with a user account, of at least one of digital image versions of a base digital image. The computing device can determine a context attribute to associate with the user image selection. The computing device can compute an image processing rule associated with the user account by applying machine learning or statistical analysis on multiple user image selections associated with the context attribute, the multiple user image selections including the user image selection.

Abstract translation: 一些实施例包括操作计算设备以学习用户如何处理数字图像的偏好的方法。 计算设备可以记录基本数字图像的数字图像版本中的至少一个的与用户帐户相关联的用户图像选择。 计算设备可以确定与用户图像选择相关联的上下文属性。 计算设备可以通过对与上下文属性相关联的多个用户图像选择应用机器学习或统计分析来计算与用户帐户相关联的图像处理规则，所述多个用户图像选择包括用户图像选择。

公开(公告)号：US09412046B2

公开(公告)日：2016-08-09

申请号：US14511597

申请日：2014-10-10

Applicant: Facebook, Inc.

Inventor： Shizhe Shen ,  Yael Maguire ,  Damian Kowalewski ,  Viktor Vladimirovich Passichenko

IPC: G06K9/62 ,  G06K9/66

CPC classification number: G06K9/6256 ,  G06F17/30247 ,  G06K9/66 ,  H04N1/00204 ,  H04N5/2257 ,  H04N2201/0084

Abstract: Some embodiments include a method of operating a computing device to learn user preferences of how to process digital images. The method can include: aggregating a user image selection and a context attribute associated therewith into a preference training database for a user, wherein the user image selection represents a record of the user's preference over at least one of adjusted versions of a base image when the adjusted versions are separately processed by different visual effects; determining a visual effect preference associated based on machine learning or statistical analysis of user image selections in the preference training database, the user image selections representing experimental records corresponding to the visual effects; updating a photo preference profile with the visual effect preference; and providing the photo preference profile to an image processor to adjust subsequently captured photographs provided to the image processor.

Abstract translation: 一些实施例包括操作计算设备以学习用户如何处理数字图像的偏好的方法。 该方法可以包括：将用户图像选择和与其相关联的上下文属性聚合到用户的偏好训练数据库中，其中，当基于图像的调整版本中的至少一个时，用户图像选择表示用户偏好的记录，当 调整后的版本由不同的视觉效果分开处理; 基于所述偏好训练数据库中的用户图像选择的机器学习或统计分析确定视觉效果偏好，所述用户图像选择表示对应于所述视觉效果的实验记录; 使用视觉效果偏好更新照片偏好设置; 以及将照片偏好配置文件提供给图像处理器，以调整提供给图像处理器的随后拍摄的照片。

公开(公告)号：US20160104057A1

公开(公告)日：2016-04-14

申请号：US14511597

申请日：2014-10-10

Applicant: Facebook, Inc.

Inventor： Shizhe Shen ,  Yael Maguire ,  Damian Kowalewski ,  Viktor Vladimirovich Passichenko

IPC: G06K9/62 ,  G06K9/66

CPC classification number: G06K9/6256 ,  G06F17/30247 ,  G06K9/66 ,  H04N1/00204 ,  H04N5/2257 ,  H04N2201/0084

Abstract: Some embodiments include a method of operating a computing device to learn user preferences of how to process digital images. The method can include: aggregating a user image selection and a context attribute associated therewith into a preference training database for a user, wherein the user image selection represents a record of the user's preference over at least one of adjusted versions of a base image when the adjusted versions are separately processed by different visual effects; determining a visual effect preference associated based on machine learning or statistical analysis of user image selections in the preference training database, the user image selections representing experimental records corresponding to the visual effects; updating a photo preference profile with the visual effect preference; and providing the photo preference profile to an image processor to adjust subsequently captured photographs provided to the image processor.

Abstract translation: 一些实施例包括操作计算设备以学习用户如何处理数字图像的偏好的方法。 该方法可以包括：将用户图像选择和与其相关联的上下文属性聚合到用户的偏好训练数据库中，其中，当用户图像选择表示基于图像的调整版本中的至少一个时，用户图像选择的记录 调整后的版本由不同的视觉效果分开处理; 基于所述偏好训练数据库中的用户图像选择的机器学习或统计分析确定视觉效果偏好，所述用户图像选择表示对应于所述视觉效果的实验记录; 使用视觉效果偏好更新照片偏好设置; 以及将照片偏好配置文件提供给图像处理器，以调整提供给图像处理器的随后拍摄的照片。

公开(公告)号：US09589209B2

公开(公告)日：2017-03-07

申请号：US15141714

申请日：2016-04-28

Applicant: Facebook, Inc.

Inventor： Shizhe Shen ,  Yael Maguire ,  Damian Kowalewski ,  Viktor Vladimirovich Passichenko

IPC: G06K9/62 ,  G06K9/66 ,  H04N1/00 ,  H04N5/225 ,  G06F17/30

CPC classification number: G06K9/6256 ,  G06F17/30247 ,  G06K9/66 ,  H04N1/00204 ,  H04N5/2257 ,  H04N2201/0084

Abstract: Some embodiments include a method of operating a computing device to learn user preferences of how to process digital images. The computing device can record a user image selection, associated with a user account, of at least one of digital image versions of a base digital image. The computing device can determine a context attribute to associate with the user image selection. The computing device can compute an image processing rule associated with the user account by applying machine learning or statistical analysis on multiple user image selections associated with the context attribute, the multiple user image selections including the user image selection.

Abstract translation: 一些实施例包括操作计算设备以学习用户如何处理数字图像的偏好的方法。 计算设备可以记录基本数字图像的数字图像版本中的至少一个的与用户帐户相关联的用户图像选择。 计算设备可以确定与用户图像选择相关联的上下文属性。 计算设备可以通过对与上下文属性相关联的多个用户图像选择应用机器学习或统计分析来计算与用户帐户相关联的图像处理规则，所述多个用户图像选择包括用户图像选择。

公开(公告)号：US20160150375A1

公开(公告)日：2016-05-26

申请号：US14550867

申请日：2014-11-21

Applicant: Facebook, Inc.

Inventor： Karthik Yogeeswaran ,  Viktor Vladimirovich Passichenko ,  Damian Kowalewski ,  Georgiy Yakovlev

IPC: H04W4/02 ,  H04W52/02 ,  H04W72/04 ,  H04W4/06

CPC classification number: H04W4/025 ,  G01S1/00 ,  G01S5/0236 ,  G01S5/0242 ,  G01S5/14 ,  H04M1/7253 ,  H04W4/023 ,  H04W4/06 ,  H04W8/005 ,  H04W52/0216 ,  H04W52/0219 ,  H04W52/0258 ,  H04W64/006 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/164 ,  Y02D70/26

Abstract: A portable electronic device has a display, a device positioning module, and a wireless communication module. Using a first application, the device: determines whether predetermined locator timing criteria are satisfied; if the predetermined locator timing criteria are satisfied, searches for wireless signals transmitted from wireless signaling devices; if wireless signals, transmitted from the wireless signaling devices, are identified from the searching, determines whether the identified wireless signals satisfy predetermined locator wireless signal criteria. If the identified wireless signals satisfy the predetermined locator wireless signal criteria, the device identifies an identifier of a respective wireless signaling device of the wireless signaling devices; identifies a geographic location of the portable electronic device; and sends to a remote server system the identifier of the respective wireless signaling device and the geographic location of the portable electronic device.

Abstract translation: 便携式电子设备具有显示器，设备定位模块和无线通信模块。 使用第一应用，所述设备：确定是否满足预定定位器定时准则; 如果满足预定定位器定时标准，则搜索从无线信令装置发送的无线信号; 如果从搜索中识别从无线信令装置发送的无线信号，则确定所识别的无线信号是否满足预定的定位无线信号标准。 如果所识别的无线信号满足预定的定位无线信号准则，则设备识别无线信令设备的相应无线信令设备的标识符; 识别便携式电子设备的地理位置; 并向远程服务器系统发送相应的无线信令设备的标识符和便携式电子设备的地理位置。