ACCESSMATH: INDEXING AND RETRIEVING VIDEO SEGMENTS CONTAINING MATH EXPRESSIONS BASED ON VISUAL SIMILARITY

被引：0

作者：

Davila, Kenny ^{[1
]}

Agarwal, Anurag ^{[2
]}

Gaborski, Roger ^{[1
]}

Zanibbi, Richard ^{[1
]}

Ludi, Stephanie ^{[3
]}

机构：

[1] Rochester Inst Technol, Dept Comp Sci, Rochester, NY 14623 USA

[2] Rochester Inst Technol, Sch Math Sci, Rochester, NY 14623 USA

[3] Rochester Inst Technol, Software Engn, Rochester, NY 14623 USA

来源：

2013 IEEE WESTERN NEW YORK IMAGE PROCESSING WORKSHOP (WNYIPW) | 2013年

关键词：

Math Retrieval; Content-Based Image Retrieval; Sketch-Based Image Retrieval;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

AccessMath project is a work in progress oriented toward helping visually impaired students in and out of the classroom. The system works with videos from math lectures. For each lecture, videos of the whiteboard content from two different sources are provided. An application for extraction and retrieval of that content is presented. After the content has been indexed, the user can select a portion of the whiteboard content found in a video frame and use it as a query to find segments of video with similar content. Graphs of neighboring connected components are used to describe both the query and the candidate regions, and the results of a query are ranked using the recall of matched graph edges between the graph of the query and the graph of each candidate. This is a recognition-free method and belongs to the field of sketchbased image retrieval.

引用

页码：14 / 17

页数：4

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