LectureKhoj: Automatic tagging and semantic segmentation of online lecture videos

Author

Baidya, Esha ; Goel, Shivani

Author_Institution

Dept. of CSE & IT, Jaypee Inst. of Inf. Technol., Noida, India

fYear

2014

fDate

7-9 Aug. 2014

Firstpage

37

Lastpage

43

Abstract

Online educational lecture videos are very popular nowadays. However, effective search of relevant videos remains a difficult task. Texts displayed in lecture video slides have important information about the video content. Therefore, it can be utilized as a valuable source of content analysis and tagging. In this paper, we present an automated method for semantic segmentation and tag recommendation of online lecture videos using OCR technology.

Keywords

computer aided instruction; optical character recognition; text analysis; video signal processing; LectureKhoj; OCR technology; automatic tagging; content analysis; online educational lecture videos; optical character recognition technology; semantic segmentation; tag recommendation; Image edge detection; Image segmentation; Optical character recognition software; Semantics; Text analysis; Text recognition; Videos; e-learning; lecture video content analysis; multimedia retrieval; online lecture videos; presentation video semantic segmentation; video OCR; video segmentation; video tagging;

fLanguage

English

Publisher

ieee

Conference_Titel

Contemporary Computing (IC3), 2014 Seventh International Conference on

Conference_Location

Noida

Print_ISBN

978-1-4799-5172-7

Type

conf

DOI

10.1109/IC3.2014.6897144

Filename

6897144