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O. Khalifa, Othman
International Islamic University Malaysia
Electrical & Electronics Engineering

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Video Streaming Over Ad hoc On-demand Distance Vector Routing Protocol O. Khalifa, Othman; Eldin Mustafa Ahmed, Diaa; Hassan Abdalla Hashim, Aisha; Yagoub, Mudathir
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v8i3.1510

Abstract

Video streaming is content sent in compressed form over the netwoks  and viwed the users progressively. The transmission of video with the end goal that it can be prepared as consistent and nonstop stream. The point is that to give client support to client at anyplace and at whatever time. Mobile Ad hoc Networks (MANETs) are considered an attractive nertwork for information transmission in many applications where the customer programme can begin showing the information before the whole record has been transmitted. Ad hoc On-demand Distance Vector (AODV) protocol is considered as one of the most important routing protocols in MANET. However, routing protocols assume a crucial part in transmission of information over the network. This paper investigates the performance of  AODV Routing Protocol under video traffic over PHY  IEEE 802.11g.  The protocol model was developed in OPNET. Different outcomes from simulation based models are analyzed and appropriate reasons are also discussed. A different scenarios of video streaming were used. The metric in terms of throughput, end to end delay, packet delivery ratio and routing overhead were measured. A comparision with GRP and GRP are also reported.
Efficient 3D Stereo Vision Stabilization for Multi-camera Viewpoints Shah Newaj Bhuiyan, Sharif; O. Khalifa, Othman
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v8i3.1518

Abstract

In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. Finding accurate unique matching key-points using Harris Laplace corner detection method for different photometric changes and geometric transformation in images. Then improved the connectivity of correct matching pairs by minimizing the global error using spanning tree algorithm. Tree algorithm helps to stabilize randomly positioned camera viewpoints in linear order. The unique matching key-points will be calculated only once with our method. Then calculated planar transformation will be applied for real time video rendering. The proposed algorithm can process more than 200 camera viewpoints within two seconds.
Co-Authors Eldin Mustafa Ahmed, Diaa Hassan Abdalla Hashim, Aisha Shah Newaj Bhuiyan, Sharif Yagoub, Mudathir