公开(公告)号：US09165186B1

公开(公告)日：2015-10-20

申请号：US14291493

申请日：2014-05-30

Applicant: Amazon Technologies, Inc.

Inventor： David Paul Ramos ,  Matthew Joseph Cole ,  Matthew Daniel Hart

IPC: G06K9/00

CPC classification number: G06K9/00442 ,  G06F17/241 ,  G06F17/2785 ,  G06K9/00979 ,  G06K9/03 ,  G06K2209/01

Abstract: Disclosed are techniques for providing additional information for text in an image. In some implementations, a computing device receives an image including text. Optical character recognition (OCR) is performed on the image to produce recognized text. One or more topics corresponding to the recognized text is determined. A word or a phrase is selected from the recognized text for providing additional information. One or more potential meanings of the selected word or phrase are determined. One of the potential meanings is selected using the one or more topics. A source of additional information corresponding to the selected meaning is selected for providing the additional information to a user's device.

Abstract translation: 公开了用于为图像中的文本提供附加信息的技术。 在一些实现中，计算设备接收包括文本的图像。 在图像上执行光学字符识别（OCR）以产生识别的文本。 确定与识别的文本相对应的一个或多个主题。 从识别的文本中选择一个单词或短语以提供附加信息。 确定所选择的单词或短语的一个或多个潜在含义。 使用一个或多个主题选择潜在的含义之一。 选择对应于所选择的含义的附加信息的来源以将附加信息提供给用户的设备。

公开(公告)号：US09058644B2

公开(公告)日：2015-06-16

申请号：US13800951

申请日：2013-03-13

Applicant: Amazon Technologies, Inc.

Inventor： David Paul Ramos ,  Chang Yuan ,  Keith Harrison Goodman ,  Avnish Sikka

IPC: G06K9/18 ,  G06T5/00 ,  G06T7/00

CPC classification number: G06T5/001 ,  G06K9/00228 ,  G06K9/03 ,  G06K9/3258 ,  G06K9/34 ,  G06K9/40 ,  G06K9/44 ,  G06K2209/01 ,  G06T7/73 ,  G06T2207/10004 ,  G06T2207/30168 ,  G06T2207/30201

Abstract: Various embodiments enable regions of text to be identified in an image captured by a camera of a computing device for preprocessing before being analyzed by a visual recognition engine. For example, each of the identified regions can be analyzed or tested to determine whether a respective region contains a quality associated with poor text recognition results, such as poor contrast, blur, noise, and the like, which can be measured by one or more algorithms. Upon identifying a region with such a quality, an image quality enhancement can be automatically applied to the respective region without user instruction or intervention. Accordingly, once each region has been cleared of the quality associated with poor recognition, the regions of text can be processed with a visual recognition algorithm or engine.

Abstract translation: 各种实施例使得在由视觉识别引擎分析之前，在由计算设备的照相机拍摄的图像中识别文本区域以进行预处理。 例如，可以分析或测试每个所识别的区域以确定相应区域是否包含与差的文本识别结果相关联的质量，例如差的对比度，模糊，噪声等，其可以由一个或多个 算法。 在识别具有这种质量的区域时，可以在没有用户指导或干预的情况下自动地将图像质量增强应用于相应区域。 因此，一旦每个区域已被清除与识别不良相关的质量，文本区域可以用视觉识别算法或引擎进行处理。