Detecting doctored images using camera response normality and consistency
    51.
    发明授权
    Detecting doctored images using camera response normality and consistency 有权
    使用相机响应的正常性和一致性来检测图像

    公开(公告)号:US07505606B2

    公开(公告)日:2009-03-17

    申请号:US11132865

    申请日:2005-05-19

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00 G06K9/00899

    摘要: Embodiments of the invention determine whether an image has been altered. Sets of patches are selected in the image, and corresponding inverse response functions are provided to a support vector machine (SVM). The support vector machine is trained with exemplary normal and abnormal inverse response functions. Once trained, the support vector machine analyzes inverse response functions corresponding to a suspected image. The support vector machine determines if the inverse response functions are normal or abnormal by analyzing a set of features. In one embodiment, features include measures for monotonic characteristics, fluctuation characteristics, and divergence characteristics of the red, green, and blue components of a tuple. Each tuple of inverse response functions is associated with a set of patches selected in the image.

    摘要翻译: 本发明的实施例确定图像是否已被改变。 在图像中选择一组补丁,并将相应的反应函数提供给支持向量机(SVM)。 支持向量机用示例性正常和异常的反应函数进行训练。 训练后,支持向量机分析与疑似图像相对应的反应响应函数。 支持向量机通过分析一组特征来确定逆响应函数是正常还是异常。 在一个实施例中,特征包括用于元组的红,绿和蓝分量的单调特性,波动特性和发散特性的度量。 反向响应函数的每个元组与在图像中选择的一组补丁相关联。

    ACTIVE SEGMENTATION FOR GROUPS OF IMAGES
    52.
    发明申请
    ACTIVE SEGMENTATION FOR GROUPS OF IMAGES 有权
    图像组的主动分段

    公开(公告)号:US20080304743A1

    公开(公告)日:2008-12-11

    申请号:US12025703

    申请日:2008-02-04

    IPC分类号: G06K9/34

    摘要: Systems and methods of segmenting images are disclosed herein. The similarity of images in a set of images is compared. A group of images is selected from the set of images. The images in the group of images are selected based on compared similarities among the images. An informative image is selected from the group of images. User-defined semantic information of the informative image is received. The group of images as a graph is modeled as a graph. Each image in the group of images denotes a node in the graph. Edges of the graph denote a foreground relationship between images or a background relationship between images. One or more images in the group of images are automatically segmented by propagating the semantic information of the informative image to images in the group of images having a corresponding graph node that is related to a graph node corresponding to the informative image. Segmentation results can be refined according to user provided image semantics.

    摘要翻译: 本文公开了分割图像的系统和方法。 比较一组图像中图像的相似度。 从该组图像中选择一组图像。 基于图像中的相似度来选择图像组中的图像。 从图像组中选择信息图像。 收到信息图像的用户定义语义信息。 作为图形的图像组被建模为图形。 图像组中的每个图像表示图中的一个节点。 图的边缘表示图像之间的前景关系或图像之间的背景关系。 通过将信息图像的语义信息传播到具有与对应于信息图像的图形节点相关联的对应图形节点的图像组中的图像来自动分割图像组中的一个或多个图像。 分割结果可以根据用户提供的图像语义进行细化。

    Progressive cut: interactive object segmentation
    53.
    发明申请
    Progressive cut: interactive object segmentation 审中-公开
    渐进切割:交互式对象分割

    公开(公告)号:US20080136820A1

    公开(公告)日:2008-06-12

    申请号:US11897224

    申请日:2007-08-29

    IPC分类号: G06T11/20 G06F3/041

    摘要: Progressive cut interactive object segmentation is described. In one implementation, a system analyzes strokes input by the user during iterative image segmentation in order to model the user's intention for refining segmentation. In the user intention model, the color of each stroke indicates the user's expectation of pixel label change to foreground or background, the location of the stroke indicates the user's region of interest, and the position of the stroke relative to a previous segmentation boundary indicates a segmentation error that the user intends to refine. Overexpansion of pixel label change is controlled by penalizing change outside the user's region of interest while overshrinkage is controlled by modeling the image as an eroded graph. In each iteration, energy consisting of a color term, a contrast term, and a user intention term is minimized to obtain a segmentation map.

    摘要翻译: 描述了渐进切割交互式对象分割。 在一个实现中,系统分析用户在迭代图像分割期间输入的笔画,以便模拟用户的细化细分意图。 在用户意图模型中,每个笔画的颜色表示用户对于前景或背景的像素标签变化的期望,笔画的位置指示用户感兴趣的区域,并且笔画相对于先前分割边界的位置指示 用户打算细化的分段错误。 像素标签变化的过度扩展是通过对用户感兴趣区域之外的变化进行惩罚来控制的,而通过将图像建模为受侵蚀图来控制超损耗。 在每次迭代中,将由颜色项,对比度项和用户意图项组成的能量最小化以获得分割图。

    Video Completion By Motion Field Transfer
    54.
    发明申请
    Video Completion By Motion Field Transfer 有权
    视频完成通过运动场传输

    公开(公告)号:US20080112642A1

    公开(公告)日:2008-05-15

    申请号:US11559861

    申请日:2006-11-14

    IPC分类号: G06K9/40

    摘要: Systems and methods for video completion by motion field transfer are described. In one aspect, a spatio-temporal target patch of an input video data sequence is filled in or replaced by motion field transfer from a spatio-temporal source patch of the input video data sequence. Color is propagated to corresponding portions of the spatio-temporal target patch by treating the transferred motion information as directed edges These motion field transfer and color propagation operations result in a video completed spatio-temporal target patch. The systems and methods present the video data sequence, which now includes the video completed spatio-temporal target patch, to user for viewing.

    摘要翻译: 描述了通过运动场传输进行视频完成的系统和方法。 在一个方面,输入视频数据序列的时空目标贴片由输入视频数据序列的时空源片段填充或由运动场传输代替。 通过将转移的运动信息作为有向边缘进行处理,将颜色传播到时空目标贴片的相应部分。这些运动场转移和颜色传播操作导致视频完成的时空目标贴片。 系统和方法呈现视频数据序列,其现在包括视频完成的时空目标补丁,供用户观看。

    PRODUCING ANIMATED SCENES FROM STILL IMAGES
    55.
    发明申请
    PRODUCING ANIMATED SCENES FROM STILL IMAGES 失效
    从静止图像生成动画场景

    公开(公告)号:US20080001950A1

    公开(公告)日:2008-01-03

    申请号:US11428195

    申请日:2006-06-30

    IPC分类号: G06T13/00

    摘要: A strategy is described for producing an animated scene from multiple high resolution still images. The strategy involves: creating a graph based on an analysis of similarity among the plural still images; performing partial temporal order recovery to define a partial ordering among the plural still images; and extracting an output sequence from the plural still images using second-order Markov Chain analysis, using the partial ordering as a reference. The strategy can perform the above-described analysis with respect to multiple independent animated regions (IARs) within the still images. Further, the strategy can decompose any IAR with a significant amount of motion into multiple semi-independent animated regions (SIARs). The SIARs are defined to be weakly interdependent.

    摘要翻译: 描述了从多个高分辨率静止图像生成动画场景的策略。 该策略涉及:基于对多个静止图像之间的相似性的分析来创建图; 执行部分时间顺序恢复以限定所述多个静止图像中的部分排序; 以及使用部分排序作为参考,使用二阶马尔可夫链分析从多个静止图像中提取输出序列。 该策略可以针对静止图像内的多个独立动画区域(IAR)执行上述分析。 此外,该策略可以将具有大量运动的任何IAR分解成多个半独立动画区域(SIAR)。 SIAR被定义为弱相互依赖。

    Detecting Doctored JPEG Images
    56.
    发明申请
    Detecting Doctored JPEG Images 有权
    检测Doctored JPEG图像

    公开(公告)号:US20070195106A1

    公开(公告)日:2007-08-23

    申请号:US11276204

    申请日:2006-02-17

    IPC分类号: G09G5/02

    摘要: Systems and methods for detecting doctored JPEG images are described. In one aspect, a JPEG image is evaluated to determine if the JPEG image comprises double quantization effects of double quantized Discrete Cosine Transform coefficients. In response to results of these evaluation operations, the systems and methods determine whether the JPEG image has been doctored and identify any doctored portion.

    摘要翻译: 描述用于检测编码的JPEG图像的系统和方法。 在一个方面,评估JPEG图像以确定JPEG图像是否包括双量化离散余弦变换系数的双量化效应。 响应于这些评估操作的结果,系统和方法确定JPEG图像是否被编辑并识别任何编辑部分。

    Background Removal In A Live Video
    57.
    发明申请
    Background Removal In A Live Video 有权
    背景去除现场视频

    公开(公告)号:US20070133880A1

    公开(公告)日:2007-06-14

    申请号:US11469371

    申请日:2006-08-31

    IPC分类号: G06K9/46

    摘要: Exemplary systems and methods segment a foreground from a background image in a video sequence. In one implementation, a system refines a segmentation boundary between the foreground and the background image by attenuating background contrast while preserving contrast of the segmentation boundary itself, providing an accurate background cut of live video in real time. A substitute background may then be merged with the segmented foreground within the live video. The system can apply an adaptive background color mixture model to improve segmentation of foreground from background under various background changes, such as camera movement, illumination change, and movement of small objects in the background.

    摘要翻译: 示例性系统和方法从视频序列中的背景图像分割前景。 在一个实现中,系统通过衰减背景对比度同时保留分割边界本身的对比度来优化前景和背景图像之间的分割边界,从而实时提供实况视频的精确背景截图。 然后可以将替代背景与实时视频中的分段前景合并。 该系统可以应用自适应背景颜色混合模型,从而在各种背景变化(例如相机移动,照明变化和背景中的小物体的移动)下改进背景的前景分割。

    Association and prediction in facial recognition
    58.
    发明授权
    Association and prediction in facial recognition 有权
    面部识别中的关联和预测

    公开(公告)号:US09251402B2

    公开(公告)日:2016-02-02

    申请号:US13107800

    申请日:2011-05-13

    IPC分类号: G06K9/00 G06T7/00 G06K9/46

    摘要: Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations employ an identity data set having a plurality of images representing different intrapersonal settings. A predictive model may associate one or more input images with one or more images in the identity data set. Some implementations may use an appearance-prediction approach to compare two images by predicting an appearance of at least one of the images under an intrapersonal setting of the other image. Further, some implementations may utilize a likelihood-prediction approach for comparing images that generates a classifier for an input image based on an association of an input image with the identity data set.

    摘要翻译: 一些实现提供了解决在面部识别期间遇到的内在变化的技术和布置。 例如,一些实现采用具有表示不同内部设置的多个图像的身份数据集。 预测模型可以将一个或多个输入图像与身份数据集中的一个或多个图像相关联。 一些实现可以使用外观预测方法来通过在另一图像的内部设置下预测至少一个图像的外观来比较两个图像。 此外,一些实现可以利用似然预测方法来比较基于输入图像与身份数据集的关联来生成用于输入图像的分类器的图像。

    POSE-ROBUST RECOGNITION
    59.
    发明申请
    POSE-ROBUST RECOGNITION 有权
    POSE-ROBUST认可

    公开(公告)号:US20120288167A1

    公开(公告)日:2012-11-15

    申请号:US13107856

    申请日:2011-05-13

    IPC分类号: G06K9/62

    摘要: Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations transform at least a portion of an image from a first intrapersonal condition to a second intrapersonal condition to enable more accurate comparison with another image. Some implementations may determine a pose category of an input image and may modify at least a portion of the input image to a different pose category of another image for comparing the input image with the other image. Further, some implementations provide for compression of data representing at least a portion of the input image to decrease the dimensionality of the data.

    摘要翻译: 一些实现提供了解决在面部识别期间遇到的内在变化的技术和布置。 例如,一些实施方式将图像的至少一部分从第一内在条件转换为第二内在条件,以使得能够与另一图像更准确地进行比较。 一些实现可以确定输入图像的姿态类别,并且可以将输入图像的至少一部分修改为另一图像的不同姿势类别,以将输入图像与另一图像进行比较。 此外,一些实施方案提供了表示输入图像的至少一部分的数据的压缩以降低数据的维度。

    Tensor linear laplacian discrimination for feature extraction
    60.
    发明授权
    Tensor linear laplacian discrimination for feature extraction 有权
    特征提取的张量线性拉普拉斯判别

    公开(公告)号:US08024152B2

    公开(公告)日:2011-09-20

    申请号:US12235927

    申请日:2008-09-23

    IPC分类号: G06F17/16 G06F17/11

    CPC分类号: G06F17/30598 G06K9/6234

    摘要: Tensor linear Laplacian discrimination for feature extraction is disclosed. One embodiment comprises generating a contextual distance based sample weight and class weight, calculating a within-class scatter using the at least one sample weight and a between-class scatter for multiple classes of data samples in a sample set using the class weight, performing a mode-k matrix unfolding on scatters and generating at least one orthogonal projection matrix.

    摘要翻译: 公开了用于特征提取的张量线性拉普拉斯判别。 一个实施例包括生成基于上下文距离的样本权重和类权重,使用所述至少一个样本权重来计算类内散度,以及使用类权重在样本集合中的多类数据样本之间进行类间散射,执行 mode-k矩阵在散射上展开并生成至少一个正交投影矩阵。