Localizing and Recognizing Text in Lecture Videos

被引：12

作者：

Dutta, Kartik ^{[1
]}

Mathew, Minesh ^{[1
]}

Krishnan, Praveen ^{[1
]}

Jawahar, C. V. ^{[1
]}

机构：

[1] IIIT Hyderabad, CVIT, Hyderabad, Telangana, India

来源：

PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR) | 2018年

关键词：

Word recognition; Lecture video; MOOCs; Video text; Word spotting;

D O I：

10.1109/ICFHR-2018.2018.00049

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Lecture videos are rich with textual information and to be able to understand the text is quite useful for larger video understanding/analysis applications. Though text recognition from images have been an active research area in computer vision, text in lecture videos has mostly been overlooked. In this work, we investigate the efficacy of state-of-the art handwritten and scene text recognition methods on text in lecture videos. To this end, a new dataset - LectureVideoDB(1) compiled from frames from multiple lecture videos is introduced. Our experiments show that the existing methods do not fare well on the new dataset. The results necessitate the need to improvise the existing methods for robust performance on lecture videos.

引用

页码：235 / 240

页数：6