A New Native Video Filtering based on OpenGL ES for Mobile Platform
Google Developers Guide. (2019) OpenGL ES. [Online]. Available: https://developer.android.com/guide/topics/graphics/opengl.
B. van der Wielen. (2018) Insight into the 2.3 Billion Android Smartphones in Use around the World. [Online]. Available: https://newzoo.com/insights/articles/insights-into-the-2-3-billion- android-smartphones-in-use-around-the-world/.
A. Kaehler and G. Bradski, Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library, California, United States of America: O'Reilly, 2017.
B. Radovic, G. Miljkovic, B. Bogicevic, and V. Mihic, “Rendering of digital video content through OpenGL ES on Smart TV,” in 2013 21st Telecommunications Forum Telfor, TELFOR 2013 - Proceedings of Papers, 2013, pp. 709–712.
E. Angel, “The Case for Teaching Computer Graphics with WebGL: A 25-Year Perspective,” IEEE Comput. Graph. Appl., vol. 37, no. 2, pp. 106–112, 2017.
M. Borg and C. J. Debono, “Fast High Definition Video Rendering on Mobile Devices,” in Proc. 18th Mediterr. Electrotech. Conf. MELECON 2016, 2016, pp. 18–20.
V. P. S., S. Kamath, H. Sarojadevi, and N. N. Chiplunkar, “An Approach for Bitstream Video Watermarking on Mobile Device,” in Proc. of. International conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 2016, pp. 578–583.
P. S. Venugopala, A. A. Nayak, H. Sarojadevi, and N. N. Chiplunkar, “Various challenges in video watermarking for Android mobile devices,” in Proc. - IEEE Int. Conf. Inf. Process. ICIP, 2015, pp. 248–253.
S. B. Chaudhari and S. A. Patil, “Real Time Video Processing and Object Detection on Android Smartphone,” in Proc. of International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015.
K. M. bin Saipullah, A. Anuar, N. A. binti Ismail, and Y. Soo, “Real-Time Video Processing Using Native Programming on Android Platform,” in 2012 IEEE 8th Int. Colloq. Signal Process. its Appl., pp. 276–281, 2012.
C. Wu, B. Yang, W. Zhu, and Y. Zhang, “Toward High Mobile GPU Performance Through Collaborative Workload Offloading,” IEEE Trans. Parallel Distrib. Syst., vol. 29, no. 2, pp. 435–449, 2018.
J. Song, P. Wang, Q. Miao, R. Liu, and B. Huang, “The Reconnection of Contour Lines from Scanned Color Images of Topographical Maps Based on GPU Implementation,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 10, no. 2, pp. 400–408, 2017.
Y. Shen, M. Yang, B. Wei, C. T. Chou, and W. Hu, “Learn to Recognise: Exploring Priors of Sparse Face Recognition on Smartphones,” IEEE Trans. Mob. Comput. vol. 16, no. 6, pp. 1705–1717, 2017.
Z. Zhang and C. Yin, “Research on video rendering on android,” in Proc. of The 8th International Conference on Wireless Communications, Networking and Mobile Computing, 2012, pp. 1– 4.
J. Luo, J. Chen, L. Han, and M. Li, “Video after-effect rendering based on pipelining principle,” in Proc. - 6th Int. Conf. Internet Comput. Sci. Eng. ICICSE 2012, 2012, pp. 102–106.
Google Developers Guide. (2019) Platform Architecture. [Online]. Available: https://developer.android.com/guide/platform.
S. Wibirama, H. A. Nugroho, and K. Hamamoto, "Evaluating 3D Gaze Tracking in Virtual Space: A Computer Graphics Approach," Entertainment Computing, Vol. 21, pp. 11-17, 2017.
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development