Relevant bibliographies by topics / Multimedia surveillance sensor networks

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multimedia surveillance sensor networks'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Multimedia surveillance sensor networks"

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Mostefaoui, Ahmed, and Benoit Piranda. "3D Real-Time Reconstruction Approach for Multimedia Sensor Networks." International Journal of Organizational and Collective Intelligence 1, no. 4 (2010): 61–77. http://dx.doi.org/10.4018/joci.2010100104.

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Multimedia sensor networks have emerged due to the tremendous technological advances in multimedia hardware miniaturization and the application potential they present. However, the time sensitive nature of multimedia data makes them very problematic to handle, especially within constrained environments. In this paper, the authors present a novel approach based on continuous 3D real time reconstruction of the monitored area dedicated for video surveillance applications. Real-time 3D reconstruction allows an important network bandwidth reduction in context to sensor nodes sending descriptive inf
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Abbas, Nasim, Fengqi Yu, and Yang Fan. "Intelligent Video Surveillance Platform for Wireless Multimedia Sensor Networks." Applied Sciences 8, no. 3 (2018): 348. http://dx.doi.org/10.3390/app8030348.

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Yang, Ming, Dajin Wang, and Nikolaos Bourbakis. "Optimization of Power Allocation in Multimedia Wireless Sensor Networks." International Journal of Monitoring and Surveillance Technologies Research 1, no. 1 (2013): 56–68. http://dx.doi.org/10.4018/ijmstr.2013010104.

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Wireless Sensor Networks (WSN) have been widely applied in monitoring and surveillance fields in recent years and have dramatically changed the methodologies and technologies in monitoring and surveillance. However, the sensor nodes in WSN have very limited computing resources and power supply, and thus the maximization of network life is a very critical issue. In the newly-emerging Wireless Multimedia Sensor Network (WMSN), the high volume of sensed video data needs to be compressed before transmission. Different video coding schemes have been developed and applied to wireless multimedia sens
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Wang, Xue, Sheng Wang, Junjie Ma, and Xinyao Sun. "Energy-aware Scheduling of Surveillance in Wireless Multimedia Sensor Networks." Sensors 10, no. 4 (2010): 3100–3125. http://dx.doi.org/10.3390/s100403100.

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Bhandary, Vikas, Amita Malik, and Sanjay Kumar. "Routing in Wireless Multimedia Sensor Networks: A Survey of Existing Protocols and Open Research Issues." Journal of Engineering 2016 (2016): 1–27. http://dx.doi.org/10.1155/2016/9608757.

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With the advancement of wireless sensor networks (WSNs) and technology, applicability of WSNs as a system is touching new heights. The development of multimedia nodes has led to the creation of another intelligent distributed system, which can transfer real-time multimedia traffic, ubiquitously. Wireless multimedia sensor networks (WMSNs) are applicable in a wide range of areas including area monitoring and video surveillance. But due to unreliable error-prone communication medium and application specific quality of service (QoS) requirements, routing of real-time multimedia traffic in WMSNs p
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K.S. Kannan, B. Swathi, Kartik Jayathirth Kulkarni, Ganesh Davanam, Madhu Munagala, and Puvirajan T. "Improving the Quality of Service by Enhancing the Network Lifetime in Wireless Multimedia Sensor Networks." International Journal of Computer Information Systems and Industrial Management Applications 17 (January 6, 2025): 12. https://doi.org/10.70917/ijcisim-2025-0006.

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Data has become paramount in the 21st century, from major contributors including social media, smartphones, individual health records, etc. Megabytes and gigabytes used to be the standard units of data storage, but nowadays Petta bytes and Zetta bytes of data are being produced at an exceptional rate and in a wide range of formats. Wireless sensor networks (WSN) are a type of WSN in which each node is equipped with sensing, processing, and communication capabilities. This network's ability to monitor and sense has led to its widespread use in fields as diverse as surveillance, military, medici
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Salim, Ahmed, Walid Osamy, and Ahmed M. Khedr. "Effective Scheduling Strategy in Wireless Multimedia Sensor Networks for Critical Surveillance Applications." Applied Mathematics & Information Sciences 12, no. 1 (2018): 101–11. http://dx.doi.org/10.18576/amis/120109.

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Yazici, Adnan, Murat Koyuncu, Seyyit Alper Sert, and Turgay Yilmaz. "A Fusion-Based Framework for Wireless Multimedia Sensor Networks in Surveillance Applications." IEEE Access 7 (2019): 88418–34. http://dx.doi.org/10.1109/access.2019.2926206.

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Wu, Wenping, and Biao Lu. "Construction of Wireless Sensor Network Video Surveillance System for Multimedia Classroom Education and Teaching under 5G Communication Network." Journal of Sensors 2022 (June 17, 2022): 1–12. http://dx.doi.org/10.1155/2022/6385391.

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Research on wireless sensor network video surveillance system is a hot field of media classroom education and teaching. Based on the 5G communication network theory, this paper constructs a wireless sensor network video monitoring system for multimedia classroom education and teaching, systematically analyzes the new distance education model under the condition of the integration of the two networks, and improves the interactive live classroom education model. For the classroom teaching mode, the model studies the isochronous transmission technology of data collection and video encoding and de
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Kizilkaya, Burak, Enver Ever, Hakan Yekta Yatbaz, and Adnan Yazici. "An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 2 (2022): 1–21. http://dx.doi.org/10.1145/3473037.

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With improvements in the area of Internet of Things (IoT), surveillance systems have recently become more accessible. At the same time, optimizing the energy requirements of smart sensors, especially for data transmission, has always been very important and the energy efficiency of IoT systems has been the subject of numerous studies. For environmental monitoring scenarios, it is possible to extract more accurate information using smart multimedia sensors. However, multimedia data transmission is an expensive operation. In this study, a novel hierarchical approach is presented for the detectio
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Dissertations / Theses on the topic "Multimedia surveillance sensor networks"

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Oztarak, Hakan. "An Energy-efficient And Reactive Remote Surveillance Framework Using Wireless Multimedia Sensor Networks." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614328/index.pdf.

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With the introduction of Wireless Multimedia Sensor Networks, large-scale remote outdoor surveillance applications where the majority of the cameras will be battery-operated are envisioned. These are the applications where the frequency of incidents is too low to employ permanent staffing such as monitoring of land and marine border, critical infrastructures, bridges, water supplies, etc. Given the inexpensive costs of wireless resource constrained camera sensors, the size of these networks will be significantly larger than the traditional multi-camera systems. While large number of cameras ma
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Diop, El hadji Serigne Mamour. "Optimisation de la transmission d'images dans les réseaux de capteurs pour des applications critiques de surveillance." Thesis, Pau, 2014. http://www.theses.fr/2014PAUU3011/document.

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L’émergence de petites caméras CMOS et de microphones MEMS, à coût et puissance réduits, a contribué au développement d’une technologie permettant la transmission de flux multimédia (audio, image, vidéo) : les réseaux de capteurs multimédia. Cette technologie, offrant de nouvelles perspectives d’applications potentielles où la collecte d’informations visuelles et/ou acoustiques apporte une plus- value certaine, suscite un intérêt manifeste. Avec des données multimédia, la qualité de service devient désormais une exigence fondamentale pour la transmission dans un environnement contraint en ress
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Diratie, Eyassu Dilla. "Hybrid internet of things network for energy-efficient video surveillance system." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG066.

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Les réseaux de capteurs visuels sans fil basés sur les réseaux maillés IEEE 802.11 sont des solutions efficaces et adaptées aux systèmes de vidéosurveillance pour surveiller les intrusions dans des zones sélectionnées. Les réseaux de capteurs visuels basés sur IEEE 802.11 offrent des transmissions vidéo à haut débit mais souffrent de problèmes d'inefficacité énergétique. De plus, la transmission vidéo dans les réseaux de capteurs visuels nécessite une qualité de service (QoS) stricte en termes de bande passante et de délai. En outre, il est difficile de réduire la consommation énergétique glob
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Choe, Insook. "Multimedia system using wireless sensor networks /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1456296481&sid=2&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Sarif, Bambang Ali Basyah. "Energy efficient video sensor networks for surveillance applications." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58889.

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Video sensor networks (VSNs) provide rich sensing information and coverage, both beneficial for applications requiring visual information such as smart homes, traffic control, healthcare systems and monitoring/surveillance systems. Since a VSN-based surveillance application is usually assumed to have limited resources, energy efficiency has become one of the most important design aspects of such networks. However, unlike common sensor network platforms, where power consumption mostly comes from the wireless transmission, the encoding process in a video sensor network contributes to a significa
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Almalkawi, Islam. "Wireless multimedia sensor networks, security and key management." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/129557.

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Wireless Multimedia Sensor Networks (WMSNs) have emerged and shifted the focus from the typical scalar wireless sensor networks to networks with multimedia devices that are capable to retrieve video, audio, images, as well as scalar sensor data. WMSNs are able to deliver multimedia content due to the availability of inexpensive CMOS cameras and microphones coupled with the significant progress in distributed signal processing and multimedia source coding techniques. These mentioned characteristics, challenges, and requirements of designing WMSNs open many research issues and future research d
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Dai, Rui. "Correlation-based communication in wireless multimedia sensor networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42736.

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Wireless multimedia sensor networks (WMSNs) are networks of interconnected devices that allow retrieving video and audio streams, still images, and scalar data from the environment. In a densely deployed WMSN, there exists correlation among the observations of camera sensors with overlapped coverage areas, which introduces substantial data redundancy in the network. In this dissertation, efficient communication schemes are designed for WMSNs by leveraging the correlation of visual information observed by camera sensors. First, a spatial correlation model is developed to estimate the correlatio
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Li, Mo. "Building sensor network surveillance systems : on the applicability /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20LIMO.

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Yildiz, Enes. "PROVIDING MULTI-PERSPECTIVE COVERAGE IN WIRELESS MULTIMEDIA SENSOR NETWORKS." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/717.

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Deployment of cameras in Wireless Multimedia Sensor Networks (WMSNs) is crucial in achieving good coverage, accuracy and fault tolerance. With the decreased costs of wireless cameras, WMSNs provide opportunities for redundant camera deployment in order to get multiple disparate views of events. Referred to as multi-perspective coverage (MPC), this thesis proposes an optimal solution for camera deployment that can achieve full MPC for a given region. The solution is based on a Bi-Level mixed integer program (MIP) which works by solving two sub-problems named master and sub-problems. The master
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Bender, Paul Anthony. "Energy efficient Image Video Sensor Networks." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1216053711.

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Books on the topic "Multimedia surveillance sensor networks"

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Distributed video sensor networks-research challenges and future directions workshop (2009 : Riverside, Calif.), ed. Distributed video sensor networks. Springer, 2011.

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1955-, Chua T. S., Dorai Chitra, ACM Special Interest Group on Multimedia., and ACM Digital Library, eds. VSSN '04: Proceedings of the ACM Second International Workshop on Video Surveillance & Sensor Networks, October 15, 2004, New York, NY, USA, co-located with ACM Multimedia 2004. ACM Press, 2004.

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Ma, Huadong, Liang Liu, and Hong Luo. Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1.

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Ang, Li-minn, Kah Phooi Seng, Li Wern Chew, Lee Seng Yeong, and Wai Chong Chia. Wireless Multimedia Sensor Networks on Reconfigurable Hardware. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38203-1.

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Kolodny, Michael A. Ground/air multi-sensor interoperability, integration, and networking for persistent ISR: 6-9 April 2010, Orlando, Florida, United States. Edited by SPIE (Society). SPIE, 2010.

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Kolodny, Michael A. Ground/air multisensor interoperability, integration, and networking for persistent ISR II: 26-28 April 2011, Orlando, Florida, United States. Edited by SPIE (Society). SPIE, 2011.

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International, Conference on Parallel Processing Workshops (2004 Montreal Québec). ICPP 2004 Workshops on Mobile and Wireless Networking, High Performance Scientific and Engineering Computing, Network Design and Architecture, Optical Networks Control and Management, Ad Hoc and Sensor Networks, Compile and Run Time Techniques for Parallel Computing: 15-18 August, 2004, Montreal, Quebec, Canada : proceedings. IEEE Computer Society, 2004.

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Djeraba, Chabane. Multi-modal user interactions in controlled environments. Springer, 2010.

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Roy-Chowdhury, Amit K., Bir Bhanu, and Chinya V. Ravishankar. Distributed Video Sensor Networks. Springer, 2011.

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Roy-Chowdhury, Amit K., Demetri Terzopoulos, Bir Bhanu, Chinya V. Ravishankar, and Hamid Aghajan. Distributed Video Sensor Networks. Springer, 2014.

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Book chapters on the topic "Multimedia surveillance sensor networks"

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Irgan, Kerem, Cem Unsalan, and Şebnem Baydere. "Priority Encoding of Image Data in Wireless Multimedia Sensor Networks for Border Surveillance." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9794-1_38.

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Kenges, Nurdaulet, Enver Ever, and Adnan Yazici. "Effective Use of Low Power Heterogeneous Wireless Multimedia Sensor Networks for Surveillance Applications Using IEEE 802.15.4 Protocol." In Advanced Information Networking and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75078-7_25.

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Kundur, Deepa, and William Luh. "Multimedia Sensor Networks." In Encyclopedia of Multimedia. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_150.

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Appice, Annalisa, Anna Ciampi, Fabio Fumarola, and Donato Malerba. "Sensor Data Surveillance." In Data Mining Techniques in Sensor Networks. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5454-9_4.

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Ma, Huadong, Liang Liu, and Hong Luo. "Prospect of Future Research." In Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1_6.

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Ma, Huadong, Liang Liu, and Hong Luo. "Directional Sensing Models and Coverage Control." In Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1_2.

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Ma, Huadong, Liang Liu, and Hong Luo. "Multimedia Sensor Network Supported IoT Service." In Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1_5.

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Ma, Huadong, Liang Liu, and Hong Luo. "Introduction to Multimedia Sensor Networks." In Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1_1.

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Ma, Huadong, Liang Liu, and Hong Luo. "Data Fusion Based Transmission in Multimedia Sensor Networks." In Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1_3.

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Ma, Huadong, Liang Liu, and Hong Luo. "In-Network Processing for Multimedia Sensor Networks." In Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1_4.

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Conference papers on the topic "Multimedia surveillance sensor networks"

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Malarkodi, K., Bhaskarrao Yakkala, G. Revathi, S. Raja, K. Ramesh, and Ammal Dhanalakshmi. "Integrative Framework for Disaster Surveillance in Wireless Sensor Networks." In 2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). IEEE, 2024. http://dx.doi.org/10.1109/iceeict61591.2024.10718382.

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Xiangjun Zhu, Shaodong Ying, and Le Ling. "Multimedia sensor networks design for smart home surveillance." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597346.

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Akyildiz, Ian F. "Novel communication architectures for wireless multimedia sensor networks." In 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2011. http://dx.doi.org/10.1109/avss.2011.6027321.

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Tannoury, Anthony, Rony Darazi, Christophe Guyeux, and Abdallah Makhoul. "Efficient and accurate monitoring of the depth information in a Wireless Multimedia Sensor Network based surveillance." In 2017 Sensors Networks Smart and Emerging Technologies (SENSET). IEEE, 2017. http://dx.doi.org/10.1109/senset.2017.8125025.

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Chou, Li-Ping, Jenn-Dong Sun, and Mei-Ling Chen. "A New Application Framework for Intelligent Surveillance Sensor Networks." In Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/iih-msp.2007.39.

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Zhao, Dong, Huadong Ma, and Liang Liu. "Event classification for living environment surveillance using audio sensor networks." In 2010 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2010. http://dx.doi.org/10.1109/icme.2010.5583889.

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Al Machot, Fadi, Kyandoghere Kyamakya, Bernhard Dieber, and Bernhard Rinner. "Real time complex event detection for resource-limited multimedia sensor networks." In 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2011. http://dx.doi.org/10.1109/avss.2011.6027378.

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Guotao Zhao, Huadong Ma, Yan Sun, Hong Luo, and Xufei Mao. "Enhanced surveillance platform with low-power wireless audio sensor networks." In 2011 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2011. http://dx.doi.org/10.1109/wowmom.2011.5986188.

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Sert, Seyyit Alper, Adnan Yazici, and Ahmet Cosar. "Data fusion and processing in Wireless Multimedia Sensor Networks: An analysis for surveillance applications." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830255.

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Sert, Seyyit Alper, Adnan Yazici, Ahmet Cosar, and Cengiz Yilmazer. "An efficient fuzzy fusion-based framework for surveillance applications in Wireless Multimedia Sensor Networks." In 2014 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2014. http://dx.doi.org/10.1109/iwcmc.2014.6906453.

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Reports on the topic "Multimedia surveillance sensor networks"

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Dhillon, Santpal S., and Krishnendu Chakrabarty. Sensor Placement for Effective Coverage and Surveillance in Distributed Sensor Networks. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada445754.

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Wang, Limin, and Sandeep S. Kulkarni. pCover: Partial Coverage for Long-Lived Surveillance Sensor Networks. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada455697.

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