Design and implementation of adaptive WLAN mesh networks for video surveillance

Lim, Keun Woo; Seo, Youn Kyoung; Jung, Woo Sung; Ko, Young-Bae; Park, Sangjoon

doi:10.1007/s11276-013-0547-3

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…Complete solutions need to provide for integration of network infrastructure design and installation to keep up with the demands of multimedia data produced by surveillance peripheral. Some of advanced system designs are based on several areas such as wireless solution [210]- [216] cloud infrastructure solutionn [183], [186], [187], [217]- [220], sensor improvement [4], [108], [124], [212], protocol enhancement [111], [159], [181], [188], [221], [222]. Figure 5 shows numbers of research focus on network infrastructure improvement.…”

Section: G the Most Influential Network Rchitecturementioning

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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Section: G the Most Influential Network Rchitecturementioning

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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QoE-based routing algorithms for H.264/SVC video over ad-hoc networks

et al. 2015

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Q-RoSA: QoE-aware routing for SVC video streaming over ad-hoc networks

Quang¹,

Piamrat²,

Singh³

et al. 2016

2016 13th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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International audienceRelaying packets through multi-hop ad-hoc networks and the scarcity of wireless resources can severely deteriorate the quality of service. As a result, one of the major challenges in video streaming over ad-hoc networks is enhancing users experience and network utilization. An extension of H.264 standard, named scalable video coding (SVC), enables smooth adaptation of video quality to networks' status. In this paper, we formulate the problem of optimizing quality of experience (QoE) for SVC under time-constraints. The problem itself is a mixed integer linear programming which is NP-hard, and therefore we propose a heuristic algorithm to solve it. Simulation results show that the proposed algorithm can provide the similar video quality as optimal solutions with shorter calculation time

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Design and implementation of adaptive WLAN mesh networks for video surveillance

Cited by 5 publications

References 17 publications

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

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

QoE-based routing algorithms for H.264/SVC video over ad-hoc networks

Q-RoSA: QoE-aware routing for SVC video streaming over ad-hoc networks

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