Title :
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
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;
Conference_Titel :
Contemporary Computing (IC3), 2014 Seventh International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-5172-7
DOI :
10.1109/IC3.2014.6897144
