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公开(公告)号：US20060147116A1
公开(公告)日：2006-07-06
申请号：US11314380
申请日：2005-12-21
CPC分类号： G06K9/34 , G06K9/38 , G06T7/11 , G06T7/12 , G06T7/149 , G06T7/194 , G06T2207/10016 , G06T2207/20104
摘要： The invention relates to a device and a method for segmenting objects in an image. The method comprises steps for: the approximate definition of a contour external to the object to be segmented, said contour including a plurality of so-called control points, the determination of a vicinity of candidate points in the vicinity of each control point, the determination of an energy associated with each candidate point in the vicinity of each control point, the convergence of each of the control points (Vi) towards the candidate point, which minimizes said energy, so providing an estimated contour of the object to be segmented. According to the invention, the energy associated with each candidate point includes a colour discrimination term.
摘要翻译： 本发明涉及一种用于分割图像中的对象的装置和方法。 该方法包括以下步骤：对要被分割的对象外部轮廓的近似定义，所述轮廓包括多个所谓的控制点，确定每个控制点附近的候选点附近，确定 与每个控制点附近的每个候选点相关联的能量，使得每个控制点（V SUB）朝向候选点的会聚，从而使所述能量最小化，从而提供估计轮廓 的被分割对象。 根据本发明，与每个候选点相关联的能量包括颜色鉴别项。
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公开(公告)号：US20060106816A1
公开(公告)日：2006-05-18
申请号：US10528636
申请日：2003-09-11
IPC分类号： G06F7/00
CPC分类号： G06F17/30843 , G06K9/00711 , G06K9/6224
摘要： The method utilizing a graph-like structure is comprises the following iteration: calculation of the potential of node nm, merging of two nodes ni and nj, as a function of the distances between the attributes of the key images and as a function of the temporal distance of these key images, calculation of the potential of each edge connecting the merged node to another node of the graph previously connected to nodes ni or nj, merging of the two nodes and validation of the new graph if the energy of this graph is less than the energy of the graph before merging.
摘要翻译： 使用图形结构的方法包括以下迭代：计算节点n的电位，合并两个节点n 1和N 2， / SUB>作为关键图像的属性之间的距离的函数，并且作为这些关键图像的时间距离的函数，计算将合并的节点连接到之前连接到的图的另一个节点的每个边缘的电位 如果该图的能量小于合并前的图的能量，则两个节点的合并和新图的验证。
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公开(公告)号：US20060023944A1
公开(公告)日：2006-02-02
申请号：US10528729
申请日：2003-09-12
IPC分类号： G06K9/34
CPC分类号： G06K9/4647 , G06F17/30259 , G06K9/481 , Y10S707/99936
摘要： The method performs, for each image, the following steps: segmentation of the image, classification of the segments as a function of their orientation to give classes, calculation of a histogram of the number of segments as a function of class, calculation of a histogram of the number of pixels belonging to the segments of one and the same class as a function of class, comparison of the histograms of each image to give a measurement of similarity.
摘要翻译： 该方法对于每个图像执行以下步骤：图像的分割，段的分类作为其给出类别的方向的函数，计算作为类的函数的段数的直方图，计算直方图 属于属于类的函数的一个和同一类的段的像素数量的比较，比较每个图像的直方图以给出相似度的测量。
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公开(公告)号：US20050002568A1
公开(公告)日：2005-01-06
申请号：US10877581
申请日：2004-06-25
CPC分类号： G06K9/6211 , G06F16/583 , G06K2009/6213
摘要： A device and a method for measuring visual similarity between two images. One image (Q) being referred to as the model and one image (T) being referred to as the target, the method comprises a prior step (E2) of segmenting the images into regions (Qi, Ti), with each region there being associated at least one attribute (F) representative of at least one characteristic of the region. It furthermore comprises the steps of calculating (E3) the visual similarity between the pairs (Qi, Ti) of possible regions of the two images (Q, T), by taking into account the distance (D(Qi, Ti)) between the said attributes (F) of the regions (Qi, Ti) matched and the areas of the regions (Qi, Ti) matched; selecting (E4) a certain number of pairs (Qi, Ti) of regions whose similarity is greater than a first fixed threshold (ε), calculating (E9) the global similarity between the two images, based on the pairs (Qi, Ti) of regions selected.
摘要翻译： 一种用于测量两个图像之间的视觉相似性的装置和方法。 一个图像（Q）被称为模型，一个图像（T）被称为目标，该方法包括将图像分割成区域（Qi，Ti）的先前步骤（E2），其中每个区域 关联表示区域的至少一个特征的至少一个属性（F）。 它还包括以下步骤：通过考虑两个图像（Q，T）之间的距离（D（Qi，Ti））来计算（E3）两个图像（Q，T）的可能区域的对（Qi，Ti） 所述区域（Qi，Ti）的匹配属性（F）和区域（Qi，Ti）的区域匹配; 选择（E4）相似度大于第一固定阈值（ε）的一定数量的对（Qi，Ti），基于对（Qi，Ti）计算（E9）两个图像之间的全局相似度 的地区。
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公开(公告)号：US07979435B2
公开(公告)日：2011-07-12
申请号：US10528636
申请日：2003-09-11
IPC分类号： G06F7/00
CPC分类号： G06F17/30843 , G06K9/00711 , G06K9/6224
摘要： The method utilizing a graph-like structure is comprises the following iteration: calculation of the potential of node nm, merging of two nodes ni and nj, as a function of the distances between the attributes of the key images and as a function of the temporal distance of these key images, calculation of the potential of each edge connecting the merged node to another node of the graph previously connected to nodes ni or nj, merging of the two nodes and validation of the new graph if the energy of this graph is less than the energy of the graph before merging.
摘要翻译： 使用图形结构的方法包括以下迭代：计算节点nm的电位，将两个节点ni和nj的合并作为关键图像的属性之间的距离的函数，并且作为时间的函数 这些关键图像的距离，将连接到合并节点的每个边缘的电位计算到先前连接到节点ni或nj的图形的另一个节点，如果该图形的能量较少，则合并两个节点并验证新图形 比合并之前的图表的能量。
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公开(公告)号：US20070080973A1
公开(公告)日：2007-04-12
申请号：US11248551
申请日：2005-10-12
申请人： Jurgen Stauder , Bertrand Chupeau , Lionel Oisel
发明人： Jurgen Stauder , Bertrand Chupeau , Lionel Oisel
IPC分类号： G09G5/02
CPC分类号： H04N1/6027 , H04N9/67
摘要： The invention concerns a device and a method for colour correction of an input image. According to the invention, the device comprises: means for analysing the colours of an input image in order to get a colours parametric representation of said input image, means for selecting a set of reference images, means for analysing the colours of at least one of said reference images or one region of said reference images in order to get a colours parametric representation of said reference image, means for calculating a set of possible transformations on the colour of said input image such that the colours parametric representation of said input image is close to the colours parametric representation of said reference image according to a distance criterion, means for selecting among the said possible transformations, a subset of transformations which applied to said input image, gives a physically possible colour corrected input image, means for interactively selecting visually one transformation out of said subset. Application to the post-production of films.
摘要翻译： 本发明涉及用于输入图像的颜色校正的装置和方法。 根据本发明，该装置包括：用于分析输入图像的颜色以获得所述输入图像的颜色参数表示的装置，用于选择一组参考图像的装置，用于分析参考图像中的至少一个的颜色的装置 所述参考图像或所述参考图像的一个区域，以便获得所述参考图像的颜色参数表示;用于计算所述输入图像的颜色的一组可能变换的装置，使得所述输入图像的颜色参数表示关闭 根据距离标准对所述参考图像的颜色参数化表示进行选择的装置，用于在所述可能变换中选择应用于所述输入图像的变换子集给出物理上可能的颜色校正输入图像的装置，用于以可视方式交互选择的装置 转换出所述子集。 适用于电影后期制作。
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公开(公告)号：US07551756B2
公开(公告)日：2009-06-23
申请号：US10887973
申请日：2004-07-08
申请人： Bertrand Chupeau , Vincent Tollu , Jürgen Stauder , Lionel Oisel
发明人： Bertrand Chupeau , Vincent Tollu , Jürgen Stauder , Lionel Oisel
CPC分类号： G06K9/00228
摘要： The invention relates to a device and a process for detecting faces in a colour image. The process is such that it comprises the steps of: detection of the flesh coloured pixels in the image, segmentation of the image into regions of homogeneous colour, selection, among the regions of homogeneous colour, of the regions comprising a number of flesh coloured pixels greater than a first predetermined threshold, the regions selected being said to be flesh coloured regions. merging of the neighbouring flesh coloured regions until the merge cost attains a second predetermined threshold, the merge cost linearly weighting a merge cost relating to the shape of the regions and a merge cost relating to the colour of the regions, exclusion of false positives.
摘要翻译： 本发明涉及一种用于检测彩色图像中的面部的装置和方法。 该过程包括以下步骤：检测图像中的肉色像素，将图像分割成均匀颜色的区域，在均匀颜色的区域中选择包括多个肉色像素的区域 大于第一预定阈值，所选择的区域被称为肉色区域。 将合并成本达到第二预定阈值，合并成本对与区域的形状有关的合并成本进行线性加权，以及与区域的颜色相关的合并成本，排除误报。
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公开(公告)号：US07852414B2
公开(公告)日：2010-12-14
申请号：US10532282
申请日：2003-10-27
申请人： Ewa Kijak , Lionel Oisel , Bertrand Chupeau
发明人： Ewa Kijak , Lionel Oisel , Bertrand Chupeau
CPC分类号： G06K9/00711 , G06F17/30802 , G06F17/30805 , G06F17/30808 , G06F17/30843
摘要： The method is characterized in that it implements the following steps: random drawing of p candidates from the set of key images, calculation of a cost C for each candidate, selection of the candidate minimizing the cost C, determination of a subset from among the set of key images such that the key images forming the said subset have a distance from the candidate less than a threshold T, determination of a seed from among the key images of the subset such that it minimizes the cost function C for this subset, deletion of the key images of the subset to form a new set of key images for at least one new random draw and determination of a new seed according to the previous 5 steps. The field is that of the selection of shots of interest in a video sequence.
摘要翻译： 该方法的特征在于它实现以下步骤：从该组密钥图像中随机绘制p个候选，计算每个候选的成本C，选择最小化成本C的候选者，确定集合中的子集 的关键图像，使得形成所述子集的关键图像具有距候选者小于阈值T的距离，从子集的关键图像中确定种子，使得其将该子集的成本函数C最小化，删除 该子集的关键图像根据前面的5个步骤形成一组新的关键图像，用于至少一个新的随机抽取和确定新的种子。 该领域是对视频序列中感兴趣的照片的选择。
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公开(公告)号：US07627175B2
公开(公告)日：2009-12-01
申请号：US11314380
申请日：2005-12-21
IPC分类号： G06K9/00
CPC分类号： G06K9/34 , G06K9/38 , G06T7/11 , G06T7/12 , G06T7/149 , G06T7/194 , G06T2207/10016 , G06T2207/20104
摘要： The invention relates to a device and a method for segmenting objects in an image. The method comprises steps for: the approximate definition of a contour external to the object to be segmented, said contour including a plurality of so-called control points, the determination of a vicinity of candidate points in the vicinity of each control point, the determination of an energy associated with each candidate point in the vicinity of each control point, the convergence of each of the control points (Vi) towards the candidate point, which minimizes said energy, so providing an estimated contour of the object to be segmented. According to the invention, the energy associated with each candidate point includes a colour discrimination term.
摘要翻译： 本发明涉及一种用于分割图像中的对象的装置和方法。 该方法包括以下步骤：对要被分割的对象外部轮廓的近似定义，所述轮廓包括多个所谓的控制点，确定每个控制点附近的候选点附近，确定 与每个控制点附近的每个候选点相关联的能量，每个控制点（Vi）朝向候选点的收敛，其使所述能量最小化，从而提供待分割对象的估计轮廓。 根据本发明，与每个候选点相关联的能量包括颜色鉴别项。
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公开(公告)号：US07340096B2
公开(公告)日：2008-03-04
申请号：US10800988
申请日：2004-03-15
IPC分类号： G06K9/46
CPC分类号： H04N5/222 , G06K9/3266
摘要： A method for identifying of tokens in a video sequence is described. First, the video sequence is scanned for boundaries between consecutive parts of the sequence where the appearance of the tokens is expected. After that step, candidate regions are pre-selected and classified in parts of the video sequence adjacent to detected boundaries, and tokens are located in the candidate regions. Information carried on the tokens is located, interpreted, and merged into consistent sets of information after passing a confidence analysis. In parallel a change in the visual appearance of a token, signaling a special event, is detected.
摘要翻译： 描述了用于识别视频序列中的令牌的方法。 首先，视频序列被扫描在序列的连续部分之间的边界，其中期望出现令牌的出现。 在该步骤之后，候选区域被预选并分类为与检测到的边界相邻的视频序列的部分，并且令牌位于候选区域中。 在通过信心分析之后，令牌上的信息被定位，解释和合并成一套一致的信息。 并行地检测到令牌的视觉外观的改变，表示特殊事件。
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