Hasso-Plattner-Institut
  
 

Vision of the tele-TASK Project

In the center of the research work of Prof. Dr. Christoph Meinel and his team in the field of Knowledge Engineering and Web University is the tele-TASK project (tele-Teaching Anywhere Solution Kit). It was started more than 15 years ago when we began to research how Internet and web technologies can be used for supporting teaching (> tele-teaching) and learning (> e-learning). Our vision was to design an easy to use mobile system for recording and broadcasting university lectures and presentations over the Internet in order to develop and test on the one hand new tele-teaching and e-learning concepts and on the other hand to innovative portal and navigation techniques.

Demonstration des tele-TASK Systems

Our Research Directions

Over the years tele-TASK turned out to be a very fruitful project which helped us, on one side, to gain valuable experiences and a deeper understanding of e-learning and tele-teaching. On the other side, it inspires us to try our upcoming techniques in the are of Web3.0 - semantic, social, service Web -, and to make them accessible for Web-university (details). 

Some Links to the tele-TASK Portal

Here are some links to the tele-TASK portal which provides meanwhile more than 5.000 recorded telelectures: 

Buy, lease or rent tele-TASK

If you like to record and transmit your presentations over the Internet online and offline you can work with our tele-TASK recording system. Simply buy or rent tele-TASK ... 

The tele-TASK Team

  • Prof. Dr. Christoph Meinel (Head)
  • Dipl-Inf. Matthias Bauer
  • Dipl-Ing. Haojin Yang
  • Franka Grünewald, MSc.
  • Dipl.-Inf. Frank Priester (Technical Support)
  • Former Members: Volker Schillings, Tongbo Chen, Mingchao Ma, Mathias Kutzner, Bert Baumann, Long Wang, Andreas Groß, Maria Siebert, ...

tele-TASK Symposia

Scientific Publication about tele-TASK

Lecture Video Segmentation by Automatically Analyzing the Synchronized Slides

Xiaoyin Che, Haojin Yang, Christoph Meinel
In Proceedings of the 21st ACM international conference on Multimedia, pages 345-348 , Barcelona, Spain, 10 2013

DOI: 10.1145/2502081.2508115

Abstract:

In this paper we propose a solution which segments lecture video by analyzing its supplementary synchronized slides. The slides content derives automatically from OCR (Optical Character Recognition) process with an approximate accuracy of 90%. Then we partition the slides into different subtopics by examining their logical relevance. Since the slides are synchronized with the video stream, the subtopics of the slides indicate exactly the segments of the video. Our evaluation reveals that the average length of segments for each lecture is ranged from 5 to 15 minutes, and 45% segments achieved from test datasets are logically reasonable.

Keywords:

Video Segmentation, Slides Content Analysis, OCR

BibTeX file

@inproceedings{2013_Che_MM,
author = { Xiaoyin Che, Haojin Yang, Christoph Meinel },
title = { Lecture Video Segmentation by Automatically Analyzing the Synchronized Slides },
year = { 2013 },
pages = { 345-348 },
month = { 10 },
abstract = { In this paper we propose a solution which segments lecture video by analyzing its supplementary synchronized slides. The slides content derives automatically from OCR (Optical Character Recognition) process with an approximate accuracy of 90%. Then we partition the slides into different subtopics by examining their logical relevance. Since the slides are synchronized with the video stream, the subtopics of the slides indicate exactly the segments of the video. Our evaluation reveals that the average length of segments for each lecture is ranged from 5 to 15 minutes, and 45% segments achieved from test datasets are logically reasonable. },
keywords = { Video Segmentation, Slides Content Analysis, OCR },
address = { Barcelona, Spain },
booktitle = { Proceedings of the 21st ACM international conference on Multimedia },
isbn = { 978-1-4503-2404-5 },
language = { English },
priority = { 0 }
}

Copyright Notice

last change: Thu, 05 Dec 2013 11:11:27 +0100

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