An Architecture for QoS-Enabled Mobile Video Surveillance Applications in a 4G EPC and M2M Environment

Abu-Lebdeh, Mohammad; Belqasmi, Fatna; Glitho, Roch

doi:10.1109/access.2016.2592919

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…In [ 69 ] authors analyzes the optimization of the use of video caches in order to minimize the video disruptions and more specifically to minimize the T s . In [ 70 ] a study of the implementation of a video surveillance system on LTE was presented in which it is recognized as one of the lessons learned that an appropriate buffering system must be provided in order to support real time video streaming without disruptions, in addition to modifying the Android buffering system. We in [ 48 , 49 ] analyzed the use of several video streaming buffers and the use of video streaming server proxies that allow monitorizing communication parameters between the client and the server to minimize the T s and the retransmissions of packets.…”

Section: High Level Abstraction Model Of Performancementioning

confidence: 99%

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Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Gualotuña

Macías

Suárez

et al. 2018

Sensors

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Low-cost video surveillance systems are attractive for Smart Home applications (especially in emerging economies). Those systems use the flexibility of the Internet of Things to operate the video camera only when an intrusion is detected. We are the only ones that focus on the design of protocols based on intelligent agents to communicate the video of an intrusion in real time to the guards by wireless or mobile networks. The goal is to communicate, in real time, the video to the guards who can be moving towards the smart home. However, this communication suffers from sporadic disruptions that difficults the control and drastically reduces user satisfaction and operativity of the system. In a novel way, we have designed a generic software architecture based on design patterns that can be adapted to any hardware in a simple way. The implanted hardware is of very low economic cost; the software frameworks are free. In the experimental tests we have shown that it is possible to communicate to the moving guard, intrusion notifications (by e-mail and by instant messaging), and the first video frames in less than 20 s. In addition, we automatically recovered the frames of video lost in the disruptions in a transparent way to the user, we supported vertical handover processes and we could save energy of the smartphone's battery. However, the most important thing was that the high satisfaction of the people who have used the system.

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Section: High Level Abstraction Model Of Performancementioning

confidence: 99%

“…Thus, we reduced the adverse effect of video service disruption in the QoE. Our schemes can be adapted to build the solution presented in [ 70 ] taking into account the specific mechanisms of QoS.…”

Section: High Level Abstraction Model Of Performancementioning

confidence: 99%

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Gualotuña

Macías

Suárez

et al. 2018

Sensors

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“…En [17] se analiza la optimización del uso de caches de video para lograr minimizar las interrupciones de video y más concretamente minimizar el Ts. En [18] se presenta un estudio de implantación de un sistema de videovigilancia sobre Long Term Evolution en el que se reconoce como una de las enseñanzas aprendidas que se debe proporcionar un sistema de buffering adecuado para poder soportar el videostreaming en tiempo real sin interrupciones de servicio, además de modificar el sistema de buffering de Android. Nosotros en [19] [20] analizamos el uso de varios buffers de video streaming y el empleo de proxies del servidor de video streaming que permitan monitotizar parámetros de la comunicación entre el cliente y el servidor para minimizar el Ts y las retransmisiones de paquetes, además de automatizar la reconexión de la sesión del videostreaming para evitar que el usuario lo deba hacer manualmente, reduciendo con ello el efecto adverso de las interrupciones de video streaming en la QoE.…”

Section: Las Interrupciones Del Servicio De Video Streamingunclassified

“…Nosotros en [19] [20] analizamos el uso de varios buffers de video streaming y el empleo de proxies del servidor de video streaming que permitan monitotizar parámetros de la comunicación entre el cliente y el servidor para minimizar el Ts y las retransmisiones de paquetes, además de automatizar la reconexión de la sesión del videostreaming para evitar que el usuario lo deba hacer manualmente, reduciendo con ello el efecto adverso de las interrupciones de video streaming en la QoE. Nuestros esquemas pueden ser adaptados para construir la solución presentada en [18] teniendo en cuenta los mecanismos específicos de QoS.…”

Section: Las Interrupciones Del Servicio De Video Streamingunclassified

Mitigando Efectos Adversos de Interrupciones del Servicio de Video-vigilancia del Hogar en Clientes WiFi inalámbricos

Gualotuña

Macías

Suárez

et al. 2017

Proceedings XIII Jornadas De Ingenieria Telematica - JITEL2017

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Resumen-Actualmente los sistemas de videovigilancia en el Hogar se pueden combinar con sensores para formar un sistema de muy bajo coste y fácil manejo por parte del usuario final. Un componente importante en este sistema es el servidor de video streaming en tiempo real a clientes Web que usan Wireless Fidelity. El servidor se puede instalar en open hardware como el Raspberry Pi y se puede ayudar de sensores arduino para detectar alarmas de intrusión o condiciones domóticas adversas en el Hogar. Sin embargo, el Wireless Fidelity tiene conocidos problemas que provoca interrupciones esporádicas e impredecibles del servicio de video y de poca duración que disparan la pérdida de frames de video clave para observar el estado del Hogar en un momento dado, mientras el cliente se mueve (después de recibir una alarma). Mitigar los efectos adversos de estas interrupciones es una tarea complicada que hemos trabajado durante años. La novedad es que ahora construimos un sistema de open hardware embebida y de bajo coste (con utilidad práctica a los ciudadanos), y software libre íntegramente basado en servicios Web que es interoperable y basado en ontologías (para incluir decisiones sofisticadas, smart, de reconectar el servicio interrumpido). El elevado valor de parámetros de calidad de experiencia de usuario avalan los buenos resultados alcanzados.Palabras Clave-Video-vigilancia, WiFi, Streaming, patrón de diseño software, RapBerry Pi, arduino.

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“…The implementation of advanced use of video surveillance system in recent decades has led to various domains, such as crime prevention [2], [3]; elder treatment [4]; accident detection [5], [6] traffic oversee and control [5], [7]- [11]; counting moving object such as pedestrians or vehicles [12]- [14]; human activity understanding [15]- [22]; motion detection [23]- [27], activity analysis [16], [28]- [30], identifying, tracking, and classifying vehicles, human, and any object of interest [3], [31]- [37]. The availability, development, and price of processors and sensors have also led to the utilization of this system in term of supporting indoor and outdoor neighborhoods such as shopping mall, airport, train station, and parking lots [16], [20], [38]- [40]. The study of video surveillance system is often associated with another multidisciplinary area, such as image or pattern analysis and recognition, signal processing, distributed system, and communication.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets

Shidik¹,

Noersasongko²,

Nugraha³

et al. 2019

IEEE Access

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Video surveillance systems obtain a great interest as application-oriented studies that have been growing rapidly in the past decade. The most recent studies attempt to integrate computer vision, image processing, and artificial intelligence capabilities into video surveillance applications. Although there are so many achievements in the acquisition of datasets, methods, and frameworks published, there are not many papers that can provide a comprehensive picture of the current state of video surveillance system research. This paper provides a comprehensive and systematic review on the literature from various video surveillance system studies published from 2010 through 2019. Within a selected study extraction process, 220 journal-based publications were identified and analyzed to illustrate the research trends, datasets, methods, and frameworks used in the field of video surveillance, to provide an in-depth explanation about research trends that many topics raised by researchers as a focus in their researches, to provide references on public datasets that are often used by researchers as a comparison and a means of developing a test method, and to give accounts on the improvement and integration of network infrastructure design to meet the demand for multimedia data. In the end of this paper, several opportunities and challenges related to researches in the video surveillance system are mentioned.INDEX TERMS Artificial intelligence, cloud video surveillance, intelligent video surveillance, video surveillance framework.This study is conducted as follows: the methodology of the study is presented in Section 2. The outcomes and answers to the research questions are then discussed in Section 3. Finally, the study is summarized in the last section.

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An Architecture for QoS-Enabled Mobile Video Surveillance Applications in a 4G EPC and M2M Environment

Cited by 13 publications

References 16 publications

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Mitigando Efectos Adversos de Interrupciones del Servicio de Video-vigilancia del Hogar en Clientes WiFi inalámbricos

A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets

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