公开(公告)号：US09104700B1

公开(公告)日：2015-08-11

申请号：US14164904

申请日：2014-01-27

Applicant: A9.com, Inc.

Inventor： Gurumurthy D. Ramkumar ,  Raghavan Manmatha ,  Supratik Bhattacharyya ,  Gautam Bhargava ,  Mark A. Ruzon

IPC: G06K9/60 ,  G06F17/30

CPC classification number: G06F17/30253 ,  G06K9/723 ,  G06K2209/01

Abstract: Present invention relates to a method and system for automatic searching for information on a network in response to an image query sent by a user. The image query includes an image that is captured by using a mobile communications device with a camera. The image is processed to detect the text present in it. The detected text is then recognized using an OCR. Subsequently, the text is searched for matches in the corresponding domain database, selected from the various domain databases present in the network. Thereafter, selected matches and additional related information is sent to the user.

Abstract translation: 本发明涉及一种用于响应于用户发送的图像查询来自动搜索网络上的信息的方法和系统。 图像查询包括通过使用具有相机的移动通信设备捕获的图像。 处理图像以检测其中存在的文本。 然后使用OCR识别检测到的文本。 随后，在相应的域数据库中搜索文本，从网络中存在的各种域数据库中选择匹配。 此后，向用户发送选择的匹配和附加的相关信息。

公开(公告)号：US09558213B2

公开(公告)日：2017-01-31

申请号：US14665384

申请日：2015-03-23

Applicant: A9.com, Inc.

Inventor： Sunil Ramesh ,  Arnab S. Dhua ,  Supratik Bhattacharyya ,  Gurumurthy D. Ramkumar ,  Gautam Bhargava

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30259 ,  G06F17/30256 ,  G06F17/30864

Abstract: Visual incongruity in search result sets may be reduced at least in part by searching an optimized visually significant subset of a category tree that categorizes a collection of content. The category tree may be optimized at build time at least in part by pruning with respect to visual coherence and by the size of the content collection subset referenced by particular categories. Content collection subset sizes both too large and too small can detract from the visual significance of a particular category. The visually significant subset of the category tree may be further optimized at query time by intersecting the visually significant subset with the query-associated sub-tree(s) and further pruning categories in the visually significant subset that have child categories in the visually significant subset. Searching with respect to the optimized visually significant subset can also improve search efficiency.

Abstract translation: 搜索结果集中的视觉不协调可以至少部分地通过搜索对内容集合进行分类的类别树的优化的视觉上重要的子集来减少。 类别树可以在构建时间至少部分地通过针对视觉一致性的修剪以及由特定类别引用的内容收集子集的大小进行优化。 内容收集子集大小太大和太小可能会降低特定类别的视觉含义。 可以在查询时间通过将视觉上有意义的子集与查询关联的子树相交并在视觉上有意义的子集中进一步修剪在视觉上有意义的子集中具有子类别的视觉上重要子集中的类别，来进一步优化类别树的视觉上重要的子集 。 关于优化的视觉显着子集的搜索也可以提高搜索效率。

公开(公告)号：US20150242441A1

公开(公告)日：2015-08-27

申请号：US14665384

申请日：2015-03-23

Applicant: A9.com, Inc.

Inventor： Sunil Ramesh ,  Arnab S. Dhua ,  Supratik Bhattacharyya ,  Gurumurthy D. Ramkumar ,  Gautam Bhargava

IPC: G06F17/30

CPC classification number: G06F17/30259 ,  G06F17/30256 ,  G06F17/30864

Abstract: Visual incongruity in search result sets may be reduced at least in part by searching an optimized visually significant subset of a category tree that categorizes a collection of content. The category tree may be optimized at build time at least in part by pruning with respect to visual coherence and by the size of the content collection subset referenced by particular categories. Content collection subset sizes both too large and too small can detract from the visual significance of a particular category. The visually significant subset of the category tree may be further optimized at query time by intersecting the visually significant subset with the query-associated sub-tree(s) and further pruning categories in the visually significant subset that have child categories in the visually significant subset. Searching with respect to the optimized visually significant subset can also improve search efficiency.

Abstract translation: 搜索结果集中的视觉不协调可以至少部分地通过搜索对内容集合进行分类的类别树的优化的视觉上重要的子集来减少。 类别树可以在构建时间至少部分地通过针对视觉一致性的修剪以及由特定类别引用的内容收集子集的大小进行优化。 内容收集子集大小太大和太小可能会降低特定类别的视觉含义。 可以在查询时间通过将视觉上有意义的子集与查询关联的子树相交并在视觉上有意义的子集中进一步修剪在视觉上有意义的子集中具有子类别的视觉上重要子集中的类别，来进一步优化类别树的视觉上重要的子集 。 关于优化的视觉显着子集的搜索也可以提高搜索效率。

公开(公告)号：US08825612B1

公开(公告)日：2014-09-02

申请号：US13781550

申请日：2013-02-28

Applicant: A9.com, Inc.

Inventor： Mark Andrew Ruzon ,  Keshav Menon ,  Gurumurthy D. Ramkumar ,  Donald Tanguay ,  Supratik Bhattacharyya ,  Gautam Bhargava

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30017 ,  G06F17/30247 ,  G06F17/30277

Abstract: The present invention relates to a method, system, and a computer program product for delivering content to a communication device, in response to an image sent by the communication device. The received image is matched with a plurality of images, and, when a match is found for the received image, content corresponding to the image is delivered to the communication device. The plurality of images is stored in an image database, and the corresponding content is stored in a content repository. The present invention enables a content provider to automatically update the image database and the content repository without any human intervention.

Abstract translation: 本发明涉及一种用于响应于由通信设备发送的图像将内容传送到通信设备的方法，系统和计算机程序产品。 所接收的图像与多个图像匹配，并且当对于接收到的图像找到匹配时，与图像相对应的内容被传送到通信装置。 多个图像被存储在图像数据库中，并且相应的内容被存储在内容存储库中。 本发明使得内容提供商能够在没有任何人为干预的情况下自动更新图像数据库和内容存储库。