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    • 1. 发明授权
    • Image acquisition from dynamic content for delivery to network-enabled static display devices
    • 从动态内容获取图像,用于传送到支持网络的静态显示设备
    • US08156418B2
    • 2012-04-10
    • US12133859
    • 2008-06-05
    • Sunil GowdaTracy ArdRafael SagulaArnold BlinnTodd Buiten
    • Sunil GowdaTracy ArdRafael SagulaArnold BlinnTodd Buiten
    • G06F17/00G06F15/16
    • G06F17/30
    • An image service uses a uniform resource locator (URL) or other location identifier to retrieve static images embedded in dynamic content presentations from the Internet. The image service uses a set of imaging parameters to extract one or more static images embedded in the dynamic content presentation that can be consumed by the static display device. URLs to existing web pages are entered into a configuration interface on the image service. The image service parses the web pages, identifies a direct location identifier for the embedded image, and passes the direct location identifier to the static display device for direct retrieval of the embedded image. In another implementation, the image service dynamically pulls the selected embedded images from the identified web sites, and downloads the static image files for display on the static display device.
    • 图像服务使用统一的资源定位符(URL)或其他位置标识符来检索嵌入在来自因特网的动态内容呈现中的静态图像。 图像服务使用一组成像参数来提取嵌入在静态显示设备可以消耗的动态内容呈现中的一个或多个静态图像。 到现有网页的URL被输入到图像服务的配置界面中。 图像服务解析网页,识别嵌入图像的直接位置标识符,并将直接位置标识符传递给静态显示设备,以直接检索嵌入图像。 在另一个实现中,图像服务从所识别的网站动态地拉取所选择的嵌入图像,并且下载静态图像文件以在静态显示设备上显示。
    • 2. 发明申请
    • IMAGE ACQUISITION FROM DYNAMIC CONTENT FOR DELIVERY TO NETWORK-ENABLED STATIC DISPLAY DEVICES
    • 动态内容的图像采集,用于传送到网络使能的静态显示设备
    • US20090307571A1
    • 2009-12-10
    • US12133859
    • 2008-06-05
    • Sunil GowdaTracy ArdRafael SagulaArnold BlinnTodd Buiten
    • Sunil GowdaTracy ArdRafael SagulaArnold BlinnTodd Buiten
    • G06F17/00
    • G06F17/30
    • An image service uses a uniform resource locator (URL) or other location identifier to retrieve static images embedded in dynamic content presentations from the Internet. The image service uses a set of imaging parameters to extract one or more static images embedded in the dynamic content presentation that can be consumed by the static display device. URLs to existing web pages are entered into a configuration interface on the image service. The image service parses the web pages, identifies a direct location identifier for the embedded image, and passes the direct location identifier to the static display device for direct retrieval of the embedded image. In another implementation, the image service dynamically pulls the selected embedded images from the identified web sites, and downloads the static image files for display on the static display device.
    • 图像服务使用统一的资源定位符(URL)或其他位置标识符来检索嵌入在来自因特网的动态内容呈现中的静态图像。 图像服务使用一组成像参数来提取嵌入在静态显示设备可以消耗的动态内容呈现中的一个或多个静态图像。 到现有网页的URL被输入到图像服务的配置界面中。 图像服务解析网页,识别嵌入图像的直接位置标识符,并将直接位置标识符传递给静态显示设备,以直接检索嵌入图像。 在另一个实现中,图像服务从所识别的网站动态地拉取所选择的嵌入图像,并且下载静态图像文件以在静态显示设备上显示。
    • 5. 发明授权
    • Image clustering
    • 图像聚类
    • US08625907B2
    • 2014-01-07
    • US12797778
    • 2010-06-10
    • Charles ZitnickRafael SagulaAshok Chandrashekar
    • Charles ZitnickRafael SagulaAshok Chandrashekar
    • G06K9/62G06K9/68G06K9/70G06K9/36
    • G06K9/6217G06F17/30256G06K9/6215
    • A database of images may be accessed. A feature set may be computed for each image, respectively. Each feature set includes feature integers quantized from interest points of a corresponding image. An initial set of clusters of the feature sets is found based on min hashes of the feature sets. Given the clusters of feature sets, descriptors for each of the clusters are computed, respectively, by selecting feature integers from among the feature sets in a cluster. The clusters are then refined by comparing at least some of the feature sets with at least some of the cluster descriptors, and based on such comparing adding some of the feature sets to clusters whose feature descriptors have similarity to the feature sets.
    • 可以访问图像的数据库。 可以分别为每个图像计算特征集。 每个特征集包括从相应图像的兴趣点量化的特征整数。 基于特征集的最小散列,找到特征集的初始集合集。 给定特征集的集合,通过从集群中的特征集中选择特征整数来分别计算每个集群的描述符。 然后通过将至少一些特征集与至少一些聚类描述符相比较,并且基于这样的比较将特征集中的一些特征集合加入其特征描述符与特征集相似的群集,来对该群进行细化。
    • 6. 发明申请
    • IMAGE CLUSTERING
    • 图像聚类
    • US20110305399A1
    • 2011-12-15
    • US12797778
    • 2010-06-10
    • Charles ZitnickRafael SagulaAshok Chandrashekar
    • Charles ZitnickRafael SagulaAshok Chandrashekar
    • G06K9/62
    • G06K9/6217G06F17/30256G06K9/6215
    • A database of images may be accessed. A feature set may be computed for each image, respectively. Each feature set includes feature integers quantized from interest points of a corresponding image. An initial set of clusters of the feature sets is found based on min hashes of the feature sets. Given the clusters of feature sets, descriptors for each of the clusters are computed, respectively, by selecting feature integers from among the feature sets in a cluster. The clusters are then refined by comparing at least some of the feature sets with at least some of the cluster descriptors, and based on such comparing adding some of the feature sets to clusters whose feature descriptors have similarity to the feature sets.
    • 可以访问图像的数据库。 可以分别为每个图像计算特征集。 每个特征集包括从相应图像的兴趣点量化的特征整数。 基于特征集的最小散列,找到特征集的初始集合集。 给定特征集的集合,通过从集群中的特征集中选择特征整数来分别计算每个集群的描述符。 然后通过将至少一些特征集与至少一些聚类描述符相比较,并且基于这样的比较将特征集合中的一些特征集合添加到其特征描述符与特征集具有相似性的群集,来对该群集进行细化。