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    • 53. 发明授权
    • Facade illumination removal
    • 门面照明去除
    • US08938119B1
    • 2015-01-20
    • US13461482
    • 2012-05-01
    • Mei HanVivek KwatraShengyang DaiSergey Ioffe
    • Mei HanVivek KwatraShengyang DaiSergey Ioffe
    • G06K9/00
    • G06K9/4661G06T5/008
    • An image comprising color pixels with varying illumination is selected. Instances of a repeating pattern in the image are determined. Illumination values for illuminated pixels at locations within instances of the repeating pattern are calculated based on pixel intensities of non-illuminated pixels at corresponding locations in other instances of the repeating pattern. The illumination variation is removed from the illuminated pixels based on the calculated illumination values to produce enhanced pixels. Color from the non-illuminated pixels at the corresponding locations in other instances of the repeating pattern is propagated to the enhanced pixels.
    • 选择包括具有变化的照明的彩色像素的图像。 确定图像中的重复图案的实例。 基于重复图案的其他实例中的相应位置处的非照明像素的像素强度来计算在重复图案的实例内的位置处的照明像素的照明值。 基于所计算的照明值,从照明像素去除照明变化以产生增强像素。 来自重复图案的其他实例中的相应位置处的非照明像素的颜色被传播到增强像素。
    • 54. 发明授权
    • Matching based upon rank
    • 基于等级匹配
    • US08805090B1
    • 2014-08-12
    • US13368317
    • 2012-02-07
    • Jay YagnikSergey Ioffe
    • Jay YagnikSergey Ioffe
    • G06K9/68
    • G06K9/6212
    • Systems and methods for measuring consistency between two objects based upon a rank of object elements instead of based upon the values of those object elements. Objects being compared can be represented by d-dimension feature vectors, U and V, where each dimension includes an associated value. U and V can be converted to rank vectors, P and Q, where values of U and V dimensions are replaced by an ordered rank or a function thereof. Analysis directed to the consistency between U and V can be accomplished by determining consistency between P and Q, which can be more efficient and more accurate, particularly with regard to illumination-invariant comparisons.
    • 基于对象元素的等级而不是基于这些对象元素的值来测量两个对象之间的一致性的系统和方法。 被比较的对象可以由d维特征向量U和V表示,其中每个维度包括相关联的值。 U和V可以被转换为等级向量P和Q,其中U和V维度的值被有序等级或其功能所代替。 可以通过确定P和Q之间的一致性来实现对U和V之间的一致性的分析,这可以更有效和更准确,特别是在照明不变比较方面。
    • 55. 发明授权
    • Systems and methods facilitating random number generation for hashes in video and audio applications
    • 促进随机数生成的系统和方法,用于视频和音频应用中的散列
    • US08781154B1
    • 2014-07-15
    • US13355514
    • 2012-01-21
    • Sergey Ioffe
    • Sergey Ioffe
    • G06K9/00B42D15/00G06F7/00
    • G06T1/0021G06F7/00G06F7/58G06F17/30G06K9/00G10L19/00G10L25/54H04L9/3239
    • Systems and methods facilitating random number generation of hashes for video and/or audio are provided. In one embodiment, a system can include: a memory, and a microprocessor that executes computer executable components. The components can include a weighted distribution generation component that can generate a sampling distribution of a weighted combination of uniform distributions, and obtain a sample value from the sampling distribution. In one embodiment, horizontal regions of substantially equal area can be identified. The sample value can be obtained by selecting one of the horizontal regions, and uniformly selecting a coordinate from the horizontal region. The coordinate can correspond to a value on a horizontal axis of the sampling distribution, and the value can be equal to a sample value. The sample value can be employed to compute a hash employed in video and/or audio fingerprinting and/or in computing image descriptors for video.
    • 提供了促进用于视频和/或音频的哈希的随机数生成的系统和方法。 在一个实施例中,系统可以包括:存储器和执行计算机可执行组件的微处理器。 组件可以包括加权分布生成组件,其可以生成均匀分布的加权组合的采样分布,并且从采样分布获得样本值。 在一个实施例中,可以识别基本相等面积的水平区域。 可以通过选择水平区域之一并且从水平区域均匀地选择坐标来获得采样值。 坐标可以对应于采样分布的水平轴上的值,并且该值可以等于采样值。 可以采用采样值来计算在视频和/或音频指纹中使用的散列和/或计算用于视频的图像描述符。
    • 58. 发明授权
    • Full-length video fingerprinting
    • 全长视频指纹识别
    • US08532382B1
    • 2013-09-10
    • US13529841
    • 2012-06-21
    • Sergey Ioffe
    • Sergey Ioffe
    • G06K9/00
    • G06F17/30814
    • A full-length fingerprint is generated for a video that represents characteristics of the entire duration of the video in a small amount of data. A plurality of subfingerprints for the video, each subfingerprint encoding features of a corresponding segment of the video, is accessed. A plurality of subhistograms is generated for the video, each subhistogram encoding a frequency of subfingerprint features for subfingerprints included in a subset of the plurality of accessed subfingerprints. A master histogram for the video is generated that encodes a frequency of subhistogram features for the plurality of generated subhistograms for the video. A hashing procedure is applied to the master histogram to produce the full-length fingerprint. Clustering can be performed on full-length video fingerprints for videos in a database to detect near-duplicate videos.
    • 对于代表少量数据的视频整个持续时间的特征的视频,生成全长指纹。 用于视频的多个子指纹,视频的相应段的每个子指纹编码特征被访问。 为视频生成多个子图形,每个子图形编码包括在多个访问的子指纹印迹的子集中的子指纹的子指纹特征的频率。 生成用于视频的主直方图,其编码用于视频的多个生成的子图形的子图形特征的频率。 将哈希程序应用于主直方图以产生全长指纹。 可以对数据库中的视频的全长视频指纹执行聚类,以检测近似重复的视频。