Localizing and Recognizing Text in Lecture Videos

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...

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Bibliographic Details
Published in2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) pp. 235 - 240
Main Authors Dutta, Kartik, Mathew, Minesh, Krishnan, Praveen, Jawahar, C.V
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Lecture video
MOOCs
Video text
Word recognition
Word spotting
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Summary: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 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.
DOI:10.1109/ICFHR-2018.2018.00049