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    • 1. 发明授权
    • Image clustering method
    • 图像聚类方法
    • US08818113B2
    • 2014-08-26
    • US13477955
    • 2012-05-22
    • David John MaunderRob SangsterBarry James Drake
    • David John MaunderRob SangsterBarry James Drake
    • G06K9/62G06K9/54G06K9/60
    • G06F17/30265
    • Disclosed is a method of determining one or more event subsets within a plurality of images. Each image is associated with time and location data specifying the time and location of capture of the image. The method determines a time variable for each adjacent pair of images in a capture time ordered list of the plurality of images. A distance variable for each adjacent pair of images in the ordered list of images is then determined. The method determines speed data of the image capture device at the time and location of capture of each image. The ordered list of images is then partitioned into one or more event subsets on the basis of a cost function, the cost function being determined in accordance with a normalization of the time variable and distance variable, wherein the time variable and the distance variable are weighted relative to the speed data.
    • 公开了一种确定多个图像内的一个或多个事件子集的方法。 每个图像与指定图像捕获的时间和位置的时间和位置数据相关联。 该方法确定多个图像的捕获时间有序列表中每个相邻图像对的时间变量。 然后确定图像的有序列表中每个相邻图像对的距离变量。 该方法确定在每个图像的捕获的时间和位置处的图像捕获装置的速度数据。 然后根据成本函数将图像的有序列表划分成一个或多个事件子集,根据时间变量和距离变量的归一化确定成本函数,其中时间变量和距离变量被加权 相对于速度数据。
    • 2. 发明申请
    • IMAGE SELECTION METHOD
    • 图像选择方法
    • US20100156834A1
    • 2010-06-24
    • US12644375
    • 2009-12-22
    • Rob Sangster
    • Rob Sangster
    • G06F3/041G06K9/00H04N5/14
    • G06K9/00295G06K9/00677
    • Methods and systems for selecting one or more images from a plurality of captured images are disclosed. One method comprises the steps of: analysing the plurality of captured images to recognise faces in the captured images using a facial recognition process (step 304); updating a count variable relating to a unique face each time the face is recognised in the captured images; selecting one or more unique faces when the related count variable satisfies a predetermined condition (step 308); and selecting a reduced number of the images which together include at least one instance of each of the selected faces (step 310).
    • 公开了用于从多个拍摄图像中选择一个或多个图像的方法和系统。 一种方法包括以下步骤:使用面部识别处理来分析所捕获的多个图像以识别拍摄图像中的面部(步骤304); 每次在所捕获的图像中识别出脸部时,更新与唯一面部相关的计数变量; 当相关计数变量满足预定条件时选择一个或多个唯一面(步骤308); 以及选择一起减少数量的图像,这些图像一起包括每个所选择的面部的至少一个实例(步骤310)。
    • 3. 发明授权
    • Presenting image subsets based on occurrences of persons satisfying predetermined conditions
    • 根据满足预定条件的人员的出现呈现图像子集
    • US08792685B2
    • 2014-07-29
    • US12644375
    • 2009-12-22
    • Rob Sangster
    • Rob Sangster
    • G06K9/00
    • G06K9/00295G06K9/00677
    • Methods and systems for selecting one or more images from a plurality of captured images are disclosed. One method comprises the steps of: analysing the plurality of captured images to recognise faces in the captured images using a facial recognition process (step 304); updating a count variable relating to a unique face each time the face is recognised in the captured images; selecting one or more unique faces when the related count variable satisfies a predetermined condition (step 308); and selecting a reduced number of the images which together include at least one instance of each of the selected faces (step 310).
    • 公开了用于从多个拍摄图像中选择一个或多个图像的方法和系统。 一种方法包括以下步骤:使用面部识别处理来分析所捕获的多个图像以识别拍摄图像中的面部(步骤304); 每次在所捕获的图像中识别出脸部时,更新与唯一面部相关的计数变量; 当相关计数变量满足预定条件时选择一个或多个唯一面(步骤308); 以及选择一起减少数量的图像,这些图像一起包括每个所选择的面部的至少一个实例(步骤310)。
    • 5. 发明申请
    • IMAGE CLUSTERING METHOD
    • 图像聚类方法
    • US20120301039A1
    • 2012-11-29
    • US13477955
    • 2012-05-22
    • David John MaunderRob SangsterBarry James Drake
    • David John MaunderRob SangsterBarry James Drake
    • G06K9/62
    • G06F17/30265
    • Disclosed is a method of determining one or more event subsets within a plurality of images. Each image is associated with time and location data specifying the time and location of capture of the image. The method determines a time variable for each adjacent pair of images in a capture time ordered list of the plurality of images. A distance variable for each adjacent pair of images in the ordered list of images is then determined. The method determines speed data of the image capture device at the time and location of capture of each image. The ordered list of images is then partitioned into one or more event subsets on the basis of a cost function, the cost function being determined in accordance with a normalisation of the time variable and distance variable, wherein the time variable and the distance variable are weighted relative to the speed data.
    • 公开了一种确定多个图像内的一个或多个事件子集的方法。 每个图像与指定图像捕获的时间和位置的时间和位置数据相关联。 该方法确定多个图像的捕获时间有序列表中的每个相邻图像对的时间变量。 然后确定图像的有序列表中每个相邻图像对的距离变量。 该方法确定在每个图像的捕获的时间和位置处的图像捕获装置的速度数据。 然后根据成本函数将图像的有序列表划分成一个或多个事件子集,根据时间变量和距离变量的归一化确定成本函数,其中时间变量和距离变量被加权 相对于速度数据。
    • 6. 发明申请
    • METHOD, APPARATUS AND SYSTEM FOR RATING IMAGES
    • 方法,评估图像的装置和系统
    • US20120213445A1
    • 2012-08-23
    • US13371305
    • 2012-02-10
    • David Ngan LUURob SANGSTER
    • David Ngan LUURob SANGSTER
    • G06K9/68
    • G06F16/58
    • A method of rating a captured image is disclosed. A database of reference images is accessed. One or more of the reference images has an associated rating value. One or more of the reference images is selected to form at least one subset of reference images based on metadata associated with the reference images. The reference images of the subset are captured approximate to a capture location of the captured image and at a time associated with a capture time of the captured image. One or more similar reference images are determined from the selected subset based on at least one characteristic of the captured image. The captured image is rated based on the rating values associated with the similar reference images.
    • 公开了一种对拍摄图像进行评级的方法。 访问参考图像的数据库。 一个或多个参考图像具有相关的评级值。 基于与参考图像相关联的元数据,选择一个或多个参考图像以形成参考图像的至少一个子集。 被捕获的子集的参考图像近似于捕获的图像的捕获位置,并且与捕获的图像的捕获时间相关联的时间被捕获。 基于所捕获的图像的至少一个特征,从所选择的子集中确定一个或多个相似的参考图像。 捕获的图像根据与相似参考图像相关联的评级值进行评级。