Skip to main content
User Image

Muhammad Shoaib Rahimuddin

Associate Professor

Information Systems Department

علوم الحاسب والمعلومات
Address: Building No: 31, Room No: 2042 | Phone: +966 11 4698722
publication
Journal Article
2019

Fast Mode Decision with Flexible Macroblock Ordering in SVC

Recent developments viable high quality videos at the cost of significantly increased in the computational complexities for multi-layer video encoding. Especially for wireless devices with limited processing capability such as smartphones that resulted hard to visualize high-quality content. These advances lead challenges towards low latency applications such as video conferences and streaming where retransmission approach for missing content is not feasible. So, there is critical demand for research to have an efficient coding technique to achieve the high quality video along with low complexity and error resilience features. Proposed scheme exploits the local characteristics of encoded videos to reduce computation complexity with flexible macroblock ordering tool as an error resilience scheme. Performance of proposed scheme reveals that algorithm can achieves 31% on average in terms of reducing the computing complexity, compared to the conventional approach with the same bit rate distortion.

more of publication
publications

The vehicular ad-hoc networks integrates with long-term evolution (LTE) forming a heterogeneous network, capable of providing seamless connectivity, which meets the communication requirements of…

by I. Ahmad, R. M. Noor, I. Ahmedy, M. A. Qureshi, M. Imran, M. Shoaib
2019
Published in:
International Journal of Parallel Programming
publications

Software Defined Network (SDN) is a new network architecture that controls the network through a logically centralized controller. The controller computes and installs the flow rules (i.e.,…

by I. Awan, N. Shah, M. Imran, M. Shoaib, N. Saeed
2019
Published in:
Journal of Systems Architecture
publications

Recently, mobile crowd sensing (MCS) is captivating growing attention because of their suitability for enormous range of new types of context-aware applications and services.

by D. E. Boubiche, M. Imran, A. Maqsood, M. Shoaib
2019
Published in:
Computers in Human Behavior