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Energy Efficient and QoS Aware Framework for Video Transmission over Wireless Sensor Networks

Wireless Sensor Network 2016年第3期8卷 25-36页

作者： Mohammed Ezz El Dien Aliaa A. A. Youssif atef zaki ghalwash Department of Computer Science Helwan University Greater Cairo Egypt

Wireless Multimedia Sensor Networks (WMSNs), is a network of sensors, which are limited in terms of memory, computing, bandwidth, and battery lifetime. Multimedia transmission over WSN requires certain QoS guarantees such as huge amount of bandwidth, strict delay and lower loss ratio that makes transmitting multimedia is a complicated task. However, adopting cross-layer approach in WMSNs improves quality of service of WSN under different environmental conditions. In this work, an energy efficient and QoS aware framework for transmitting multimedia content over WSN (EQWSN) is presented, where packet, queue and path scheduling were introduced. It adapts the application layer parameter of video encoder to current wireless channel state, and drops less important packets in case of network congestion according to packet type. Finally, the path scheduling differentiates packets types/priority and route them through different paths with different QoS considering network lifetime. Simulation results show that the new scheme EQWSN transmits video quality with QoS guarantees in addition to prolonging network lifetime.

关键词： Wireless Multimedia Sensor Networks Cross Layer Design GOP Structure Analysis Packet Scheduling Queue Scheduling Path Scheduling

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Semantic-Based Video Retrieval Survey

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Journal of Computer and Communications 2018年第8期6卷 28-44页

作者： Shaimaa Toriah Mohamed Toriah atef zaki ghalwash Aliaa A. A. Youssif Department of Computer Science Faculty of Computers and Informatics Benha University Benha Egypt Computer Science Department Faculty of Computers and Information Helwan University Helwan Egypt

There is a tremendous growth of digital data due to the stunning progress of digital devices which facilitates capturing them. Digital data include image, text, and video. Video represents a rich source of information. Thus, there is an urgent need to retrieve, organize, and automate videos. Video retrieval is a vital process in multimedia applications such as video search engines, digital museums, and video-on-demand broadcasting. In this paper, the different approaches of video retrieval are outlined and briefly categorized. Moreover, the different methods that bridge the semantic gap in video retrieval are discussed in more details.

关键词： Semantic Video Retrieval Concept Detectors Context Based Concept Fusion Semantic Gap

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