图 书 馆
图像中的文本检测Text detection in images |
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| 课程网址: | http://videolectures.net/russir2012_vassilieva_images/ |
| 主讲教师: | Natalia Vassilieva |
| 开课单位: | HP实验室 |
| 开课时间: | 2013-10-08 |
| 课程语种: | 英语 |
| 中文简介: |  图像中的文本检测是广泛应用的重要组成部分。最明显的一种是光学字符识别（OCR）。它可以用于数字化纸质文档的内容，自动对多媒体文档进行注释和索引，为视障人士和其他许多目的提供计算机化的帮助。旨在检测和识别文本段落的通用OCR工具在扫描的文档上表现良好，但是当应用于自然场景的图形，图表和图像中时，则无法识别文本。这些类型的图像需要其他用于文本检测的算法。本讲座将探讨解决各种图像文本检测问题的关键方法，并展示图表和屏幕截图的文本检测问题。我们将讨论所研究方法的脚本依赖性：哪种方法在拉丁文，西里尔文或中文方面能够表现出色？ |
| 课程简介: | Text detection in images is an important component for a wide range of applications. The most obvious one is Optical Character Recognition (OCR). It can be used to digitize the content of paper documents, to automate the annotation and indexing of multimedia documents, to provide computerized aid for visually impaired, and for many other purposes. Common OCR tools being designed to detect and recognize paragraphs of text perform well on scanned documents, but fail to recognize text in drawings, charts and images of natural scenes when applied to the whole image. Other algorithms for text detection are required for these types of images. This talk will address key approaches to a problem of text detection for various types of images and showcase text detection for charts and screenshots. We will discuss script dependency of the approaches under study: which of them are capable of performing equally well for Latin, Cyrillic or Chinese? |
| 关 键 词: | 文本检测; 计算机化 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-26：zyk |
| 最后编审: | 2020-11-26：zyk |
| 阅读次数: | 57 |