Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Wireless Personal Communications
Published in: Wireless Personal Communications 3/2022

26-11-2021

Mobile Phone Based Lecture Video Capturing & Streaming Technique for Efficient Bandwidth Utilization

Authors: Jyoti Parsola, Durgaprasad Gangodkar, Ankush Mittal

Published in: Wireless Personal Communications | Issue 3/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Advancement in smart mobile phones and wireless networks technology have broaden capability of mobile phones rather than being limited for voice communication. Smart mobile devices are true multimedia devices proficient of directing, receiving, transforming, transmitting and presentation of data like image, audio, video, and text. These features facilitate high interactive learning system in mobile phones called m-learning. Many approaches have been proposed to improve the quality, as well as reduce the duration of learning videos due to the limited memory size of mobile phones. Moreover, the cameras used so far are high-definition standard cameras which are costly. Therefore, in this paper we propose to develop an android based mobile application which captures as well as stream lecture videos using mobile phone camera. Moreover, we have proposed a content analysis algorithm to reduce size of video frames as well as bandwidth requirement for transmission. We have evaluated our proposed algorithm for various dataset captured in different classroom scenarios. We have also tested our algorithm with the MPEG compression which achieves compression ratios more than 1,000 times to those of the MPEG compression.
previous article A Sparse TDOA Estimation Method for LPI Source Localization Using Distributed Sensors
next article Parametric Analysis of Compact UWB-MIMO Antenna with Improved Isolation Using Parasitic Reflectors and Protruded Ground Strips

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Leung, C. H., & Chan, Y. Y. (2003) Mobile learning: A new paradigm in electronic learning. In Proceedings 3rd IEEE international conference on advanced technologies (pp. 76–80).
2.
Patil, S. P., Sanyal, R., & Prasad, R. (2018). Progressive streaming of video data for traffic surveillance. Wireless Personal Communications, 100(2), 283–309.CrossRef
3.
Mandula, K., Meda, S. R., & Jain, D. K. (2012). Research and implementation of a mobile video streaming application for ubiquitous learning. In 2012 IEEE international conference on technology enhanced education (ICTEE) (pp. 1–6).
4.
Hartsell, T., & Yuen, S. C. Y. (2006). Video streaming in online learning. AACE Journal, 14(1), 31–43.
5.
Wu, D., Hou, Y. T., Zhu, W., Zhang, Y. Q., & Peha, J. M. (2001). Streaming video over the Internet: Approaches and directions. IEEE Transactions on circuits and systems for video technology, 11(3), 282–300.CrossRef
6.
Zhang, C., Rui, Y., Crawford, J., & He, L. W. (2008). An automated end-to- end lecture capture and broadcasting system. ACM Transactions on multimedia computing, communications, and applications (TOMM), 4(1), 1–23.
7.
Fung, C. W., & Liew, S. C. (1999). End-to-end frame-rate adaptive streaming of video data. In Proceedings IEEE international conference on multimedia computing and systems (Vol. 2, pp. 67–71).
8.
9.
Rubio Romero, L. (2011). A dynamic adaptive HTTP streaming video service for Google Android.
10.
Jo, J., Park, K., Lee, D., & Lim, H. (2014). An integrated teaching and learning assistance system meeting requirements for smart education. Wireless personal communications, 79(4), 2453–2467.CrossRef
11.
Liu, T., & Choudary, C. (2007). Scalable coding and wireless streaming of lecture videos for mobile learning. Advanced Technology for Learning, 4(2), 85–91.CrossRef
12.
Chang, S. F., Zhong, D., & Kumar, R. (2001). Real-time content-based adaptive streaming of sports videos. In Proceedings IEEE workshop on content-based access of image and video libraries (CBAIVL 2001) (pp. 139–146).
13.
Schön, D., Klinger, M., Kopf, S., & Effelsberg, W. (2012). Mobile quiz-a lecture survey tool using smartphones and QR tags. International Journal of Digital Information and Wireless Communications (IJDIWC), 2(3), 231–244.
14.
Mehta, S. M., Spanias, A., & Thiagarajan, J. J. (2010). Work in progress—An interactive web-based quiz that uses the java-DSP editor to enhance student learning experience. In 2010 IEEE frontiers in education conference (FIE) (pp. T2G-1).
15.
Ford, M., & Leinonen, T. (2009). MobilED–mobile tools and services platform for formal and informal learning. Mobile learning: Transforming the delivery of education and training, 195–214.
16.
Halawa, S., Pang, D., Cheung, N. M., & Girod, B. (2011). ClassX: an open-source interactive lecture StreamingSystem. In Proceedings of the 19th ACM international conference on multimedia (pp. 719–722).
17.
Mavlankar, A., Agrawal, P., Pang, D., Halawa, S., Cheung, N. M., & Girod, B. (2010). An interactive region-of-interest video streaming system for online lecture viewing. In 2010 18th International packet video workshop (pp. 64–71).
18.
Pang, D., Halawa, S., Cheung, N. M., & Girod, B. (2011). Mobile interactive region-of-interest video streaming with crowd-driven prefetching. In Proceeding of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices (pp. 7–12).
19.
Ambikairajah, E., Epps, J., Sheng, M., Celler, B., & Chen, P. (2005). Experiences with an electronic whiteboard teaching laboratory and tablet PC based lecture presentations [DSP courses]. In Proceedings. (ICASSP'05). IEEE international conference on acoustics, speech, and signal processing, 2005. (Vol. 5, pp. v-565).
20.
Lin, Y. T., Tsai, H. Y., Chang, C. H., & Lee, G. C. (2010). Learning-focused structuring for blackboard lecture videos. In 2010 IEEE fourth international conference on semantic computing (pp. 149–155).
21.
Liu, T., & Choudary, C. (2006). Content-adaptive wireless streaming of instructional videos. Multimedia Tools and Applications, 28(2), 157–171.CrossRef
22.
Kantarcı, A. (2010). Bandwidth-effective streaming of educational medical videos. Multimedia Systems, 16(6), 381–397.CrossRef
23.
Javed, O., Shafique, K., & Shah, M. (2002). A hierarchical approach to robust background subtraction using color and gradient information. In Workshop on motion and video computing, 2002. Proceedings. (pp. 22–27).
24.
Lee, G. C., Yeh, F. H., Chen, Y. J., & Chang, T. K. (2017). Robust handwriting extraction and lecture video summarization. Multimedia Tools and Applications, 76(5), 7067–7085.CrossRef
25.
Imran, A. S., & Cheikh, F. A. (2011). Blackboard content classification for lecture videos. In 2011 18th IEEE international conference on image processing (pp. 2989–2992).
26.
Ejaz, N., Tariq, T. B., & Baik, S. W. (2012). Adaptive key frame extraction for video summarization using an aggregation mechanism. Journal of Visual Communication and Image Representation, 23(7), 1031–1040.CrossRef
27.
Onishi, M., Izumi, M., & Fukunaga, K. (2000, September). Blackboard segmentation using video image of lecture and its applications. In Proceedings 15th international conference on pattern recognition. ICPR-2000 (Vol. 4, pp. 615–618).
28.
Avaro, O., Chou, P. A., Eleftheriadis, A., Herpel, C., Reader, C., & Signès, J. (1997). The MPEG-4 systems and description languages: A way ahead in audio visual information representation. Signal Processing: Image Communication, 9(4), 385–431.
29.
Kota, B. U., Ahmed, S., Stone, A., Davila, K., Setlur, S., & Govindaraju, V. (2019). Summarizing Lecture Videos by Key Handwritten Content Regions. In 2019 International conference on document analysis and recognition workshops (ICDARW) (Vol. 4, pp. 13–18).
30.
Yang, X. H., Yin, F., & Liu, C. L. (2018). Online video text detection with markov decision process. In 2018 13th IAPR international workshop on document analysis systems (DAS) (pp. 103–108).
31.
Gangodkar, D., Kumar, P., & Mittal, A. (2012). Robust segmentation of moving vehicles under complex outdoor conditions. IEEE Transactions on intelligent transportation systems, 13(4), 1738–1752.CrossRef
32.
Mantoro, T., Ayu, M. A., & Jatikusumo, D. (2012). Live video streaming for mobile devices: An application on android platform. In 2012 2nd international conference on uncertainty reasoning and knowledge engineering (pp. 119–122).
33.
34.
Lin, Y. T., Tsai, H. Y., Chang, C. H., & Lee, G. C. (2010). Learning-focused structuring for blackboard lecture videos. In 2010 IEEE fourth international conference on semantic computing (pp. 149–155). IEEE.
35.
He, L. W., & Zhang, Z. (2006). Real-time whiteboard capture and processing using a video camera for remote collaboration. IEEE Transactions on Multimedia, 9(1), 198–206.CrossRef
36.
Wallick, M. N., Heck, R. M., & Gleicher, M. L. (2005). Marker and chalkboard regions. In Proceedings of mirage (pp. 223–228).
37.
Masneri, S., & Schreer, O. (2014). SVM-based video segmentation and annotation of lectures and conferences. In 2014 International conference on computer vision theory and applications (VISAPP) (Vol. 2, pp. 425–432).
38.
Ognenoski, O., Razaak, M., Martini, M. G., & Amon, P. (2013). Medical video streaming utilizing MPEG-DASH. In 2013 IEEE 15th International conference on e-health networking, applications and services (Healthcom 2013) (pp. 54–59).
39.
Ullrich, C., Shen, R., Tong, R., & Tan, X. (2010). A mobile live video learning system for large-scale learning—system design and evaluation. IEEE Transactions on Learning Technologies, 3(1), 6–17.CrossRef
40.
Parsola, J., Gangodkar, D., & Mittal, A. (2019). Video segmentation techniques for instructional videos-survey. Journal of Graphic Era University, 7(2), 90–107.
41.
Chung, K., Boutaba, R., & Hariri, S. (2014). Recent trends in digital convergence information system. Wireless Personal Communications, 79(4), 2409–2413.CrossRef
42.
Parsola, J., Gangodkar, D., & Mittal, A. (2021). Automated system for road extraction and traffic volume estimation for traffic jam detection. International Journal of Computational Vision and Robotics, 11(2), 127–150.CrossRef
Metadata
Title
Mobile Phone Based Lecture Video Capturing & Streaming Technique for Efficient Bandwidth Utilization
Authors
Jyoti Parsola
Durgaprasad Gangodkar
Ankush Mittal
Publication date
26-11-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2022
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-09234-0

Other articles of this Issue 3/2022

Wireless Personal Communications 3/2022 Go to the issue

OriginalPaper

Implementation of Efficient Security Algorithm and Performance Improvement Through ODMRP Protocol in VANET Environment

OriginalPaper

QACRM: QoS Aware AHP Based Cognitive Route Selection in MANETs

OriginalPaper

A Scalable Mobility Management Scheme for PMIPv6 with Multiple Control and Data Plane

OriginalPaper

Development of a Mathematical Model for Multi-user Coded-Cooperation Based Cognitive Radio System and Its Outage Probability Analysis

OriginalPaper

Wireless Body Area Networks: Survey of Recent Research Trends on Energy Efficient Routing Protocols and Guidelines

OriginalPaper

An Efficient DOA Estimation and Jammer Mitigation Method by Means of a Single Snapshot Compressive Sensing Based Sparse Coprime Array