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23.使用熵区分手绘图表中的形状和文本

23. Using Entropy to Distinguish Shape versus Text in Hand-Drawn Diagrams
课程网址: http://videolectures.net/ijcai09_bhat_uedsvthdd/  
主讲教师: Tracy Hammond, Akshay Bhat
开课单位: 德州农工大学
开课时间: 2009-06-20
课程语种: 英语
中文简介:
大多数草图识别系统在识别文本或形状(图形)墨迹笔划时都是准确的,但不能同时识别两者。因此,区分形状和文本笔划是识别包含文本标签和注释的手绘数字墨水图的关键任务。我们发现熵率是一个准确的分类标准。我们发现,与形状笔划相比,文本笔划的熵率明显更高,并且可以作为两者之间的区别因素。该论文已被接受在2009年IJCAI会议上发表。此视频显示我们的系统正在运行。
课程简介: Most sketch recognition systems are accurate in recognizing either text or shape (graphic) ink strokes,but not both. Distinguishing between shape and text strokes is, therefore, a critical task in recognizing hand-drawn digital ink diagrams that contain text labels and annotations. We have found the entropy rate to be an accurate criterion of classification. We found that the entropy rate is significantly higher for text strokes compared to shape strokes and can serve as a distinguishing factor between the two. The paper has been accepted for publication in the 2009 IJCAI proceedings. This video shows our system in action. 
关 键 词: 识别系统; 文本标签; 熵率
课程来源: 视频讲座网
最后编审: 2021-12-22:liyy
阅读次数: 77