Adverbial Expression Based Color Image Operations
    1.
    发明申请
    Adverbial Expression Based Color Image Operations 有权
    基于表达式的彩色图像操作

    公开(公告)号:US20150170380A1

    公开(公告)日:2015-06-18

    申请号:US14107747

    申请日:2013-12-16

    Inventor: Sven Duwenhorst

    CPC classification number: G06T11/001 G06F17/3025 G06T2200/24

    Abstract: A color palette for an image is obtained, which is a set of different colors that are determined to be the dominant colors in the image. The color palette can be displayed to a user, and a user input in the form of an adverbial expression to change the color palette is received. The adverbial expression can indicate various different changes to the color palette, such as more or less of a particular color, making a color brighter or darker, making all colors in the color palette shallower or deeper, increasing or reducing the contrast of colors in the color palette, and so forth. The adverbial expression can be transformed into a new color palette and a color based image search can be initiated to identify images based on the colors in the new color palette, or an image can be modified based on the adverbial expression.

    Abstract translation: 获得用于图像的调色板,其是确定为图像中的主要颜色的一组不同的颜色。 可以向用户显示调色板,并且接收以副词表达式形式的用户输入以改变调色板。 副词表达可以指示调色板的各种不同的变化,例如或多或少的特定颜色,使得颜色更亮或更暗,使得调色板中的所有颜色变浅或更深,增加或减少颜色的对比度 调色板等。 可以将副词表达式变换成新的调色板,并且可以启动基于颜色的图像搜索以基于新调色板中的颜色来识别图像,或者可以基于副词表达式来修改图像。

    Covariance Based Color Characteristics of Images
    2.
    发明申请
    Covariance Based Color Characteristics of Images 有权
    协方差图像的颜色特征

    公开(公告)号:US20140244669A1

    公开(公告)日:2014-08-28

    申请号:US13778938

    申请日:2013-02-27

    CPC classification number: G06F17/3025 G06K9/4652

    Abstract: Each of multiple images is analyzed to determine how the colors of the pixels of the image are distributed throughout the color space of the image. Different covariance based characteristics of the image are determined that identify a direction, as well as magnitude in each direction, of the distribution of colors of the image pixels. These different covariance based characteristics that are determined for an image can be saved as associated with the image, allowing the characteristics to be accessed and used as a basis for searching the images to identify particular types of images. These different covariance based characteristics can also be used to order the images identified by a search.

    Abstract translation: 分析多个图像中的每一个以确定图像的像素的颜色如何分布在图像的整个颜色空间中。 确定图像的不同协方差特征,其识别图像像素的颜色分布的方向以及每个方向上的大小。 为图像确定的这些不同的协方差特征可以被保存为与图像相关联,允许访问特征并将其用作搜索图像以识别特定类型的图像的基础。 这些不同的协方差特征也可以用于对通过搜索识别的图像进行排序。

    AUTOMATIC AUDIO DUCKING WITH REAL TIME FEEDBACK BASED ON FAST INTEGRATION OF SIGNAL LEVELS

    公开(公告)号:US20190138262A1

    公开(公告)日:2019-05-09

    申请号:US15804526

    申请日:2017-11-06

    Abstract: Various embodiments describe audio signal processing. In an example, a computer system generates metrics, such as RMS levels, for audio slices from a foreground audio signal. A summed-area table is generated from the metrics. An observation window is used to determine whether to add a key frame or not. The observation window includes a set of audio slices. A total metrics, such as an average RMS level, is computed for the audio slices in the observation window. Based on the total metric, the computer system adds a key frame. The key frame references audio ducking parameters applicable to a background audio signal.

    Single User Interface for Selecting, Modifying, and Querying Images
    4.
    发明申请
    Single User Interface for Selecting, Modifying, and Querying Images 有权
    用于选择,修改和查询图像的单用户界面

    公开(公告)号:US20150234918A1

    公开(公告)日:2015-08-20

    申请号:US14698129

    申请日:2015-04-28

    Abstract: Methods and apparatus are presented for a morphing search tool that provides a single user interface through which a user may both modify a displayed image and perform an image similarity query based on the modified image. The morphing search tool may allow a user to repeat this process until a desired image is found and displayed. Further, the image repository to be searched may be specified by a user and the images to be modified and searched for may be any type of image. The morphing search tool may be integrated within a merchant website, an image management system, or as a stand alone application.

    Abstract translation: 呈现用于变形搜索工具的方法和装置,其提供单个用户界面,用户可以通过该界面修改所显示的图像并且基于修改的图像执行图像相似性查询。 变形搜索工具可以允许用户重复该过程,直到找到并显示期望的图像。 此外,可以由用户指定要搜索的图像库,并且要修改和搜索的图像可以是任何类型的图像。 变形搜索工具可以集成在商家网站,图像管理系统中,或作为独立应用程序。

    Adverbial expression based color image operations
    5.
    发明授权
    Adverbial expression based color image operations 有权
    基于表达式的基于色彩的图像操作

    公开(公告)号:US09582905B2

    公开(公告)日:2017-02-28

    申请号:US14107747

    申请日:2013-12-16

    Inventor: Sven Duwenhorst

    CPC classification number: G06T11/001 G06F17/3025 G06T2200/24

    Abstract: A color palette for an image is obtained, which is a set of different colors that are determined to be the dominant colors in the image. The color palette can be displayed to a user, and a user input in the form of an adverbial expression to change the color palette is received. The adverbial expression can indicate various different changes to the color palette, such as more or less of a particular color, making a color brighter or darker, making all colors in the color palette shallower or deeper, increasing or reducing the contrast of colors in the color palette, and so forth. The adverbial expression can be transformed into a new color palette and a color based image search can be initiated to identify images based on the colors in the new color palette, or an image can be modified based on the adverbial expression.

    Abstract translation: 获得用于图像的调色板,其是确定为图像中的主要颜色的一组不同的颜色。 可以向用户显示调色板,并且接收以副词表达式形式的用户输入以改变调色板。 副词表达可以指示调色板的各种不同的变化,例如或多或少的特定颜色,使得颜色更亮或更暗,使得调色板中的所有颜色变浅或更深,增加或减少颜色的对比度 调色板等。 可以将副词表达式变换成新的调色板,并且可以启动基于颜色的图像搜索以基于新调色板中的颜色来识别图像,或者可以基于副词表达式来修改图像。

    Audio Loudness Adjustment
    7.
    发明申请
    Audio Loudness Adjustment 审中-公开
    音频响度调整

    公开(公告)号:US20160260445A1

    公开(公告)日:2016-09-08

    申请号:US14639919

    申请日:2015-03-05

    Inventor: Sven Duwenhorst

    Abstract: Audio loudness adjustment techniques are described. In one or more implementations, primary and secondary sound data originating as part of an audio signal is adjusted. For example, a loudness of the sound data is adjusted. To do so, the loudness, which indicates a sound intensity of the primary and secondary sound data, is determined. Adjustments are then computed for at least a portion of the audio signal based on a target dynamic range parameter, which defines a desired difference between the loudness of the primary and secondary sound data respectively. Based on the computed adjustments, a variety of actions may be performed, such as applying the adjustments to the audio signal to generate an adjusted audio signal in which the primary and secondary sound data substantially have the desired loudness difference. Further, a preview of the adjusted audio signal may be updated in real-time for display in a user interface.

    Abstract translation: 描述音频响度调整技术。 在一个或多个实现中,调整作为音频信号的一部分发起的主要和次要声音数据。 例如,调整声音数据的响度。 为此,确定表示主要和次要声音数据的声音强度的响度。 然后,基于目标动态范围参数对音频信号的至少一部分进行调整,该目标动态范围参数分别定义了主要和次要声音数据的响度之间的期望差异。 基于所计算的调整,可以执行各种动作,例如对音频信号应用调整以产生经调整的音频信号,其中主声音数据和辅助声音数据基本上具有期望的响度差。 此外,调整后的音频信号的预览可以被实时地更新以在用户界面中显示。

    Covariance based color characteristics of images
    8.
    发明授权
    Covariance based color characteristics of images 有权
    协方差图像的颜色特征

    公开(公告)号:US08971668B2

    公开(公告)日:2015-03-03

    申请号:US13778938

    申请日:2013-02-27

    CPC classification number: G06F17/3025 G06K9/4652

    Abstract: Each of multiple images is analyzed to determine how the colors of the pixels of the image are distributed throughout the color space of the image. Different covariance based characteristics of the image are determined that identify a direction, as well as magnitude in each direction, of the distribution of colors of the image pixels. These different covariance based characteristics that are determined for an image can be saved as associated with the image, allowing the characteristics to be accessed and used as a basis for searching the images to identify particular types of images. These different covariance based characteristics can also be used to order the images identified by a search.

    Abstract translation: 分析多个图像中的每一个以确定图像的像素的颜色如何分布在图像的整个颜色空间中。 确定图像的不同协方差特征,其识别图像像素的颜色分布的方向以及每个方向上的大小。 为图像确定的这些不同的协方差特征可以被保存为与图像相关联,允许访问特征并将其用作搜索图像以识别特定类型的图像的基础。 这些不同的协方差特征也可以用于对通过搜索识别的图像进行排序。

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