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    • 8. 发明授权
    • Creation of a color profile of an image
    • 创建图像的颜色配置文件
    • US08953876B2
    • 2015-02-10
    • US13591948
    • 2012-08-22
    • Apostolos LeriosRyan David Mack
    • Apostolos LeriosRyan David Mack
    • G06K9/00G09G5/02G06T3/00H04N1/60H04N1/54
    • G06T7/90G06T3/00G06T2200/04G06T2207/10024H04N1/54H04N1/603H04N1/6058
    • Techniques for accurate color representation of images stored within a social networking system. In an embodiment, an error metric and a target error threshold are determined. A binary search algorithm and a simulated annealing algorithm are performed. A color profile for transforming an image in a first color space to a second color space is created based on the binary search algorithm, the simulated annealing algorithm, the error metric, and the target error threshold. Determination of the error metric may comprise determining a frequency with which a color occurs in the image, assigning a weight to the color based on the frequency, and calculating the error metric based on the weight. Determination of the error metric may comprise dividing the image into a plurality of sections, assigning a plurality of importance values to the plurality of sections, and calculating the error metric based on the plurality of importance values.
    • 用于准确地显示存储在社交网络系统内的图像的技术。 在一个实施例中,确定误差量度和目标误差阈值。 执行二分搜索算法和模拟退火算法。 基于二分搜索算法,模拟退火算法,误差度量和目标误差阈值,创建用于将第一颜色空间中的图像转换为第二颜色空间的颜色特征。 误差度量的确定可以包括确定图像中出现颜色的频率,基于频率分配颜色的权重,以及基于权重来计算误差度量。 确定误差度量可以包括将图像划分成多个部分,将多个重要性值分配给多个部分,以及基于多个重要性值来计算误差度量。
    • 9. 发明申请
    • SYSTEMS AND METHODS FOR DEVICE-DEPENDENT IMAGE TRANSFORMATIONS
    • 用于器件依赖图像变换的系统和方法
    • US20140129616A1
    • 2014-05-08
    • US13670320
    • 2012-11-06
    • Apostolos LeriosRyan David MackPeter RuibalDirk John Stoop
    • Apostolos LeriosRyan David MackPeter RuibalDirk John Stoop
    • H04L29/08
    • H04W4/18H04W4/021
    • Techniques to allow for optimizing an image based on an operational context. An operational context including at least one attribute of a client associated with a user of a social networking system is determined. An optimized image is created based on the operational context for provision to the user. The determining the operational context may comprise receiving a client identifier and determining the at least one attribute of the client based on the client identifier. The determining the operational context may comprise receiving location coordinates and determining quality of a data connection based on the location coordinates. The determining the operational context may comprise determining at least one usage trend in at least one geographic locality. The optimized image is provided to an image repository associated with the at least one geographic locality. The operational context may comprise at least one user-defined setting.
    • 允许基于操作上下文优化图像的技术。 确定包括与社交网络系统的用户相关联的客户端的至少一个属性的操作上下文。 基于用于提供给用户的操作上下文创建优化的图像。 确定操作上下文可以包括基于客户端标识符接收客户端标识符和确定客户端的至少一个属性。 确定操作上下文可以包括基于位置坐标接收位置坐标并确定数据连接的质量。 确定操作上下文可以包括确定至少一个地理位置中的至少一个使用趋势。 将优化的图像提供给与所述至少一个地理位置相关联的图像存储库。 操作上下文可以包括至少一个用户定义的设置。
    • 10. 发明申请
    • SYSTEMS AND METHODS FOR LOSSY COMPRESSION OF IMAGE COLOR PROFILES
    • 用于图像色彩轮廓损失的系统和方法
    • US20140056512A1
    • 2014-02-27
    • US13591948
    • 2012-08-22
    • Apostolos LeriosRyan David Mack
    • Apostolos LeriosRyan David Mack
    • G06T3/00
    • G06T7/90G06T3/00G06T2200/04G06T2207/10024H04N1/54H04N1/603H04N1/6058
    • Techniques for accurate color representation of images stored within a social networking system. In an embodiment, an error metric and a target error threshold are determined. A binary search algorithm and a simulated annealing algorithm are performed. A color profile for transforming an image in a first color space to a second color space is created based on the binary search algorithm, the simulated annealing algorithm, the error metric, and the target error threshold. Determination of the error metric may comprise determining a frequency with which a color occurs in the image, assigning a weight to the color based on the frequency, and calculating the error metric based on the weight. Determination of the error metric may comprise dividing the image into a plurality of sections, assigning a plurality of importance values to the plurality of sections, and calculating the error metric based on the plurality of importance values.
    • 用于准确地显示存储在社交网络系统内的图像的技术。 在一个实施例中,确定误差量度和目标误差阈值。 执行二分搜索算法和模拟退火算法。 基于二分搜索算法,模拟退火算法,误差度量和目标误差阈值,创建用于将第一颜色空间中的图像转换为第二颜色空间的颜色特征。 误差度量的确定可以包括确定图像中出现颜色的频率,基于频率分配颜色的权重,以及基于权重来计算误差度量。 确定误差度量可以包括将图像划分成多个部分,将多个重要性值分配给多个部分,以及基于多个重要性值来计算误差度量。