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    • 31. 发明授权
    • Methods for multisource color normalization
    • 多源色彩归一化方法
    • US07260258B2
    • 2007-08-21
    • US10459470
    • 2003-06-12
    • Jonathan T FooteDonald G. Kimber
    • Jonathan T FooteDonald G. Kimber
    • G06K9/00G06K9/32G06K9/68
    • H04N5/23238G06T3/4038G06T5/007H04N1/3876H04N1/6077H04N9/045H04N9/12H04N9/3147H04N9/64
    • A method for improvement of the consistency of color and brightness across boundaries of multicamera and/or multidisplayed overlapping or near overlapping composite images, reduction of objectionable artifacts at overlapping image seams of composite images, adjustment of color and brightness/intensity on either side of overlapping image seams, application of color correction across a composite image, reduction of color and intensity mismatches of composite images, gradual change of color across image seams of a composite image, including altering color outside of overlap regions is provided so that the seams are less discernible and to avoid sharp color changes across a composite or mosaic image are reduced or avoided. Color difference between two source images which form a composite is estimated by looking at color pixels from each source image region, determining a centroid of a cluster in a color space formed by the pixels of each source image, and determining the difference between cluster centroids for overlapping or nearly overlapping source image regions which are a measure of the vector color difference between such regions. The vector color difference between at least two overlapping source image regions are interpolated or mapped across those images.
    • 一种用于改善多面体和/或多重重叠或近重叠合成图像的边界上的颜色和亮度的一致性的方法,减少复合图像的重叠图像接缝处的令人反感的伪像,在重叠的任一侧上调整颜色和亮度/强度 图像接缝,跨合成图像的颜色校正的应用,复合图像的颜色和强度不匹配的减少,复合图像的图像接缝的颜色逐渐变化,包括改变重叠区域外的颜色,使得接缝较少可辨别 并避免在复合或马赛克图像之间的尖锐颜色变化被减少或避免。 通过观察来自每个源图像区域的颜色像素,确定由每个源图像的像素形成的颜色空间中的聚类的质心,并且确定聚类质心之间的差异来估计形成复合的两个源图像之间的色差 重叠或几乎重叠的源图像区域,其是这些区域之间的矢量色差的度量。 至少两个重叠源图像区域之间的矢量色差被插值或映射到这些图像上。
    • 33. 发明授权
    • Media browser using multimodal analysis
    • 媒体浏览器采用多模态分析
    • US06366296B1
    • 2002-04-02
    • US09151285
    • 1998-09-11
    • John S. BoreczkyAndreas GirgensohnJonathan T. Foote
    • John S. BoreczkyAndreas GirgensohnJonathan T. Foote
    • G06F300
    • G06F17/30852G06F3/0481G06F17/30787G06F17/30799H04N21/854Y10S707/99945Y10S707/99948Y10S715/968
    • A media browser, graphical user interface and method for browsing a media file wherein a user selects at least one feature in a media file and is provided with information regarding the existence of the selected feature in the media file. Based on the information, the user can identify and playback portions of interest in a media file. Features in a media file, such as a speaker's identity, applause, silence, motion, or video cuts, are preferably automatically time-wise evaluated in the media file using known methods. Metadata generated based on the time-wise feature evaluation are preferably mapped to confidence score values that represent a probability of a corresponding feature's existence in the media file. Confidence score information is preferably presented graphically to a user as part of a graphical user interface, and is used to interactively browse the media file.
    • 用于浏览媒体文件的媒体浏览器,图形用户界面和方法,其中用户选择媒体文件中的至少一个特征并且提供有关媒体文件中所选特征的存在的信息。 基于该信息,用户可以识别并播放媒体文件中感兴趣的部分。 媒体文件中的特征,例如扬声器的身份,掌声,静音,运动或视频剪辑,优选地使用已知方法在媒体文件中自动地逐时评估。 基于时间特征评估生成的元数据优选地映射到表示媒体文件中对应特征存在概率的置信度分数值。 信心分数信息优选地以图形方式呈现给用户,作为图形用户界面的一部分,并且用于交互地浏览媒体文件。
    • 34. 发明授权
    • System and method for detecting and ranking images in order of usefulness based on vignette score
    • 用于基于小插曲得分的有用性检测和排序图像的系统和方法
    • US07492921B2
    • 2009-02-17
    • US11032576
    • 2005-01-10
    • Jonathan T. Foote
    • Jonathan T. Foote
    • G06K9/00G06K9/62
    • G06F17/30247
    • A system and method for detecting useful images and for ranking images in order of usefulness based on a vignette score describing how closely each one resembles a “vignette,” or a central object or image surrounded by a featureless or deemphasized background. Several methods for determining an image's vignette score are disclosed as examples. Variance ratio analysis entails calculation of the ratio of variance between the edge region of the image and the entire image. Statistical model analysis entails developing a statistical classifier capable of determining a statistical model of each image class based on pre-entered training data. Spatial frequency analysis involves estimating the energy at different spatial frequencies in the central and edge regions and in the image as a whole. A vignette score is calculated as the ratio of mid-frequency energies in the edge region to the mid-frequency energies of the entire image.
    • 一种用于检测有用图像并根据用于评估图像的顺序对图像进行排序的系统和方法,所述小插曲得分描述了每个图像类似于“小插曲”的密切程度,或由无特征或不加重背景包围的中心对象或图像。 作为示例公开了用于确定图像晕影得分的几种方法。 方差比分析需要计算图像的边缘区域与整个图像之间的方差比。 统计模型分析需要开发能够基于预先输入的训练数据来确定每个图像类别的统计模型的统计分类器。 空间频率分析涉及估计中央和边缘区域以及整个图像中不同空间频率的能量。 晕影得分被计算为边缘区域中的中频能量与整个图像的中频能量的比率。