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    • 1. 发明授权
    • Methods and apparatus for retrieving images from a large collection of images
    • 从大量图像中检索图像的方法和装置
    • US08565537B2
    • 2013-10-22
    • US13421406
    • 2012-03-15
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra Nefian
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra Nefian
    • G06K9/62
    • G06K9/6253G06F17/30256G06F17/30259
    • A processing system may receive an example image for use in querying a collection of digital images. The processing system may use local and global feature descriptors to perform a content-based image comparison of the digital images with the example image, to automatically rank the digital images with respect to similarity to the example image. A local feature descriptor may represent a portion of the contents of a digital image. A global feature descriptor may represent substantially all of the contents of that digital image. The global feature descriptor may be content based, not keyword based. Intermediate and final classifiers may be used to perform the automatic ranking. Different intermediate classifiers may generate intermediate relevance metrics with respect to different modalities. The final classifier may use results from the intermediate classifiers to produce a final relevance metric for the digital images. Other embodiments are described and claimed.
    • 处理系统可以接收用于查询数字图像集合的示例图像。 处理系统可以使用本地和全局特征描述符来执行数字图像与示例图像的基于内容的图像比较,以便根据与示例图像的相似度对数字图像进行自动排序。 局部特征描述符可以表示数字图像内容的一部分。 全局特征描述符可以基本上代表该数字图像的所有内容。 全局特征描述符可以是基于内容的,而不是基于关键字。 中级和最终分类器可用于执行自动排序。 不同的中间分类器可以产生关于不同模态的中间相关性度量。 最终分类器可以使用来自中间分类器的结果来产生数字图像的最终相关性度量。 描述和要求保护其他实施例。
    • 2. 发明授权
    • Methods and apparatus for retrieving images from a large collection of images
    • 从大量图像中检索图像的方法和装置
    • US08200027B2
    • 2012-06-12
    • US12952923
    • 2010-11-23
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • G06K9/62
    • G06K9/6253G06F17/30256G06F17/30259
    • An image retrieval program (IRP) may be used to query a collection of digital images. The IRP may include a mining module to use local and global feature descriptors to automatically rank the digital images in the collection with respect to similarity to a user-selected positive example. Each local feature descriptor may represent a portion of an image based on a division of that image into multiple portions. Each global feature descriptor may represent an image as a whole. A user interface module of the IRP may receive input that identifies an image as the positive example. The user interface module may also present images from the collection in a user interface in a ranked order with respect to similarity to the positive example, based on results of the mining module. Query concepts may be saved and reused. Other embodiments are described and claimed.
    • 图像检索程序(IRP)可用于查询数字图像的集合。 IRP可以包括挖掘模块,以使用本地和全局特征描述符来相对于用户选择的积极示例的相似度来自动地对集合中的数字图像进行排序。 每个局部特征描述符可以基于将该图像划分成多个部分来表示图像的一部分。 每个全局特征描述符可以表示整个图像。 IRP的用户界面模块可以接收标识图像的输入作为正例。 基于挖掘模块的结果,用户界面模块还可以根据与正面示例的相似性的排序顺序在用户界面中从集合中呈现图像。 查询概念可能被保存和重用。 描述和要求保护其他实施例。
    • 3. 发明申请
    • Methods and apparatus for retrieving images from a large collection of images
    • 从大量图像中检索图像的方法和装置
    • US20080118151A1
    • 2008-05-22
    • US11604114
    • 2006-11-22
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • G06K9/00
    • G06K9/6253G06F17/30256G06F17/30259
    • An image retrieval program (IRP) may be used to query a collection of digital images. The IRP may include a mining module to use local and global feature descriptors to automatically rank the digital images in the collection with respect to similarity to a user-selected positive example. Each local feature descriptor may represent a portion of an image based on a division of that image into multiple portions. Each global feature descriptor may represent an image as a whole. A user interface module of the IRP may receive input that identifies an image as the positive example. The user interface module may also present images from the collection in a user interface in a ranked order with respect to similarity to the positive example, based on results of the mining module. Query concepts may be saved and reused. Other embodiments are described and claimed.
    • 图像检索程序(IRP)可用于查询数字图像的集合。 IRP可以包括挖掘模块,以使用本地和全局特征描述符来相对于用户选择的积极示例的相似度来自动地对集合中的数字图像进行排序。 每个局部特征描述符可以基于将该图像划分成多个部分来表示图像的一部分。 每个全局特征描述符可以表示整个图像。 IRP的用户界面模块可以接收标识图像的输入作为正例。 基于挖掘模块的结果,用户界面模块还可以根据与正面示例的相似性的排序顺序在用户界面中从集合中呈现图像。 查询概念可能被保存和重用。 描述和要求保护其他实施例。
    • 4. 发明申请
    • METHODS AND APPARATUS FOR RETRIEVING IMAGES FROM A LARGE COLLECTION OF IMAGES
    • 用于从大量图像中检索图像的方法和装置
    • US20110081090A1
    • 2011-04-07
    • US12952923
    • 2010-11-23
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • G06K9/62
    • G06K9/6253G06F17/30256G06F17/30259
    • An image retrieval program (IRP) may be used to query a collection of digital images. The IRP may include a mining module to use local and global feature descriptors to automatically rank the digital images in the collection with respect to similarity to a user-selected positive example. Each local feature descriptor may represent a portion of an image based on a division of that image into multiple portions. Each global feature descriptor may represent an image as a whole. A user interface module of the IRP may receive input that identifies an image as the positive example. The user interface module may also present images from the collection in a user interface in a ranked order with respect to similarity to the positive example, based on results of the mining module. Query concepts may be saved and reused. Other embodiments are described and claimed.
    • 图像检索程序(IRP)可用于查询数字图像的集合。 IRP可以包括挖掘模块,以使用本地和全局特征描述符来相对于用户选择的积极示例的相似度来自动地对集合中的数字图像进行排序。 每个局部特征描述符可以基于将该图像划分成多个部分来表示图像的一部分。 每个全局特征描述符可以表示整个图像。 IRP的用户界面模块可以接收标识图像的输入作为正例。 基于挖掘模块的结果,用户界面模块还可以根据与正面示例的相似性的排序顺序在用户界面中从集合中呈现图像。 查询概念可能被保存和重用。 描述和要求保护其他实施例。
    • 5. 发明申请
    • METHODS AND APPARATUS FOR RETRIEVING IMAGES FROM A LARGE COLLECTION OF IMAGES
    • 用于从大量图像中检索图像的方法和装置
    • US20120173549A1
    • 2012-07-05
    • US13421406
    • 2012-03-15
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • G06F17/30
    • G06K9/6253G06F17/30256G06F17/30259
    • A processing system may receive an example image for use in querying a collection of digital images. The processing system may use local and global feature descriptors to perform a content-based image comparison of the digital images with the example image, to automatically rank the digital images with respect to similarity to the example image. A local feature descriptor may represent a portion of the contents of a digital image. A global feature descriptor may represent substantially all of the contents of that digital image. The global feature descriptor may be content based, not keyword based. Intermediate and final classifiers may be used to perform the automatic ranking. Different intermediate classifiers may generate intermediate relevance metrics with respect to different modalities. The final classifier may use results from the intermediate classifiers to produce a final relevance metric for the digital images. Other embodiments are described and claimed.
    • 处理系统可以接收用于查询数字图像集合的示例图像。 处理系统可以使用本地和全局特征描述符来执行数字图像与示例图像的基于内容的图像比较,以便根据与示例图像的相似度对数字图像进行自动排序。 局部特征描述符可以表示数字图像内容的一部分。 全局特征描述符可以基本上代表该数字图像的所有内容。 全局特征描述符可以是基于内容的,而不是基于关键字。 中级和最终分类器可用于执行自动排序。 不同的中间分类器可以产生关于不同模态的中间相关性度量。 最终分类器可以使用来自中间分类器的结果来产生数字图像的最终相关性度量。 描述和要求保护其他实施例。
    • 6. 发明授权
    • Methods and apparatus for retrieving images from a large collection of images
    • 从大量图像中检索图像的方法和装置
    • US07840076B2
    • 2010-11-23
    • US11604114
    • 2006-11-22
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • Jean-Yves BouguetCarole DulongIgor V. KozintsevYi WuAra V. Nefian
    • G06K9/62
    • G06K9/6253G06F17/30256G06F17/30259
    • An image retrieval program (IRP) may be used to query a collection of digital images. The IRP may include a mining module to use local and global feature descriptors to automatically rank the digital images in the collection with respect to similarity to a user-selected positive example. Each local feature descriptor may represent a portion of an image based on a division of that image into multiple portions. Each global feature descriptor may represent an image as a whole. A user interface module of the IRP may receive input that identifies an image as the positive example. The user interface module may also present images from the collection in a user interface in a ranked order with respect to similarity to the positive example, based on results of the mining module. Query concepts may be saved and reused. Other embodiments are described and claimed.
    • 图像检索程序(IRP)可用于查询数字图像的集合。 IRP可以包括挖掘模块,以使用本地和全局特征描述符来相对于用户选择的积极示例的相似度来自动地对集合中的数字图像进行排序。 每个局部特征描述符可以基于将该图像划分成多个部分来表示图像的一部分。 每个全局特征描述符可以表示整个图像。 IRP的用户界面模块可以接收标识图像的输入作为正例。 基于挖掘模块的结果,用户界面模块还可以根据与正面示例的相似性的排序顺序在用户界面中从集合中呈现图像。 查询概念可能被保存和重用。 描述和要求保护其他实施例。