Abstract
Augmented Reality is one of the revolutionary technologies gaining fast pace in enhancing user interaction. Education is evolving rapidly and needs to keep accomplishing its goal of providing knowledge seamlessly. The use of mere images in print media like textbooks limits learner’s understandability. A much more interactive approach is required to boost the overall learning experience. The existing systems are quite capable of delivering useful content such as 3D models, by using special markers for tracking done in images. This limits their potential as it is not feasible to create markers for every image and is time-consuming. This research work focusses on developing an Android application using Marker-less AR. The proposed system encompasses image recognition using a mobile camera, rendering relevant YouTube videos pertaining to the image, and their superimposition in AR. The aim of this system is to enhance the productivity of education to enliven images with interactive videos.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tiwari, V., Tiwari, V.P., Chudasama, D., Bala, K.: Augmented reality and its technologies. Int. Res. J. Eng. Technol. (IRJET) 3(4) (2016)
Kesima, M., Ozarslan, Y.: Augmented reality in education: current technologies and the potential for education. Procedia Soc. Behav. Sci. 47, 297–302 (2012) (Elsevier)
Persefoni, K., Tsinakos, A.: A mobile augmented reality application for primary school’s history. IOSR J. Res. Method Educ. (IOSR-JRME) 6(6 Ver. III) (2016)
TensorFlow. https://www.tensorflow.org/
Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. French National Institute for Research in Computer Science and Automation (INRIA)
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going Deeper with Convolutions. Cornell University Library (2014)
YouTube Data API. https://developers.google.com/youtube/v3/
Dubey, H., Roy, B.N.: An improved page rank algorithm based on optimized normalization technique. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 2 (2011)
JSoup Library. https://jsoup.org/
OpenCV Library. https://opencv.org/
Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: IEEE International Conference on Computer Vision (ICCV), pp. 2564–2571 (2011)
Howse, J.: Android Application Programming with OpenCV 3. Packt Publishing, Birmingham (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Fernandes, W., Gomes, T., Fernandes, A., Mascarnes, S., Panchal, D. (2019). Interactive Print Media Using Augmented Reality. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_23
Download citation
DOI: https://doi.org/10.1007/978-981-13-3393-4_23
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3392-7
Online ISBN: 978-981-13-3393-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)