Diseño y Desarrollo de un Sistema de Gestión Inteligente integrado de servicios de IPTV estándar, estereoscópico y HD basado en QoE

Las conexiones de acceso a Internet de banda ancha permiten a los proveedores de servicios de internet ofrecer servicios a los hogares tales como datos, voz sobre IP, Television sobre IP (IPTV) y actualmente TV--¿3D sobre IP (IPTV--¿3D). Es por esto que el número de proveedores de servicios de IPTV está aumentando enormemente en los últimos años. Una de las principales cuestiones a tener en cuenta por el proveedor de servicios de IPTV es garantizar la calidad de experiencia (QoE) percibida por el usuario final. Para ello proponemos un sistema de gestión inteligente basado en parámetros de QoE. El desarrollo de este sistema de gestión se basará en el estudio de aquellos parámetros que afecten a la degradación del flujo de vídeo recibido por el usuario final a través del servicio de IPTV. A nivel de red, identificaremos dichos parámetros como aquellos que afectan a la calidad de Servicio (QoS) como son el jitter, retardo y los paquetes perdidos principalmente. A nivel de usuario, los parámetros dependerán de la percepción subjetiva del propio usuario al visualizar el vídeo. Parámetros como la compresión, la cuantificación, el bitrate, etc afectarán a dicha percepción.Broadband Internet access connections allow internet service providers to offer services to households such as data, voice over IP, TV over IP (IPTV) and currentlyTV--¿3D over IP (IPTV--¿3D). Thus, the number of IPTV service providers is increasing hugely in the last years. One of the main issues to be considered by the IPTV service provider to ensure the quality of experience (QoE) perceived by the end user. We propose a intelligent management system based on QoE parameters. The development of this management system is based on the study of the parameters affecting the degradation of the vídeo stream received by the end user through the IPTV service. At the network level, identify those parameters as those affecting the quality of service (QoS) such as jitter, delay and packet loss mainly. At the user level, depend on subjective perception of the user to view the vídeo. Therefore, parameters such as compression, quantization, bitrate, etc. affect this perception.Cánovas Solbes, A. (2013). Diseño y Desarrollo de un Sistema de Gestión Inteligente integrado de servicios de IPTV estándar, estereoscópico y HD basado en QoE. Universitat Politècnica de València. http://hdl.handle.net/10251/34320Archivo delegad

Diseño y Desarrollo de un Sistema de Gestión Inteligente de QoE para Redes HD y Estereoscópicas IPTV

[EN] Broadband Internet access connections allow Internet Service Providers (ISP) to offer several types of services to home customers such as data, voice over IP (VoIP), Internet protocol television (IPTV) and now 3D Internet protocol television (3D- IPTV). That is why the number of IPTV service providers is increasing conside- rably in recent years. Thanks to the evolution at many levels of the communication systems, communication networks and devices, to deliver these services is possible, but the maximum quality is not always guaranteed. For this reason, one of the main issues to be considered by the IPTV service providers is to guarantee the Quality of Experience (QoE) perceived by the end user. In order to achieve this goal, in this PhD Thesis we propose an intelligent management system based on inductive prediction methods to guarantee the QoE of the end-user. One of the important aspects to be considered in the development of the management system is to include all the parameters that affect the QoE. With this purpose, we will analyze the parameters that affect the degradation of the video stream received by the end user through the IPTV service. At the network level, we will identify the main parameters which affect the Quality of Service (QoS), such as jitter, delay, lost packets and bandwidth. At the user level, these parameters affect to the subjective perception of the user when watching the video. We also checked that effects derived from the compression, quantization, and bitrate affect this perception too.[ES] Las conexiones de acceso a Internet de banda ancha permiten a los Internet Service Provider (ISP) ofrecer servicios a los hogares tales como datos, Voice on IP (VoIP), Televisión sobre IP (IPTV) y actualmente 3D-TV sobre IP (3D-IPTV). Es por esto que el número de proveedores de servicios de IPTV está aumentando considerable- mente en los últimos años. Gracias a la evolución tanto a nivel de sistemas, como de redes de comunicación como de dispositivos, la entrega de este tipo de servicios es posible pero no siempre con las máximas garantías de calidad. Por este motivo, una de las principales cuestiones a tener en cuenta por parte del proveedor de servicios de IPTV es garantizar la calidad de experiencia (Quality of Experience (QoE)) percibida por el usuario final. Para conseguir este objetivo, en la siguiente tesis doctoral se propone un sistema de gestión inteligente basado en métodos induc- tivos de predicción para garantizar la QoE del usuario final. Uno de los aspectos importantes a tener en cuenta en el desarrollo del sistema de gestión es el incluir los parámetros que afectan a la QoE. Para ello, se analizarán aquellos parámetros que afecten a la degradación del flujo de vídeo recibido por el usuario final a tra- vés del servicio de IPTV. A nivel de red, se identificarán dichos parámetros como aquellos que afectan a la calidad de Servicio (Quality of Service (QoS)) como son el jitter, el retardo, los paquetes perdidos y el ancho de banda principalmente. A nivel de usuario, estos parámetros afectan a la percepción subjetiva del usuario al visualizar el vídeo. Comprobamos como efectos derivados de la compresión, la cuantificación, el bitrate, etc, afectan también a dicha percepción.[CA] Les connexions d'accés a Internet de banda ampla permeten als Proveïdors de Ser- vicis d'Internet (ISP) oferir servicis a les llars com ara dades, veu sobre IP (VoIP), Televisió sobre IP (IPTV) i actualment 3D-TV sobre IP (3D-IPTV). És per açò que el nombre de proveïdors de servicis d'IPTV està augmentant considerablement en els últims anys. Gràcies a l'evolució tant a nivell de sistemes, com de xarxes de comunicació com de dispositius, l'entrega d'este tipus de servicis és possible però no sempre amb les màximes garanties de qualitat. Per este motiu, una de les principals qüestions a tindre en compte per part del proveïdor de servicis d'IPTV és garantir la qualitat d'experiència (Quality of Experience, QoE) percebuda per l'usuari final. Per a aconseguir este objectiu, en la següent tesi doctoral es proposa un sistema de gestió intel·ligent basat en mètodes inductius de predicció per a garantir la QoE de l'usuari final. Un dels aspectes importants a tindre en compte en el desenrotllament del sistema de gestió es incloure els paràmetres que afecten la QoE. Per a això, s'analitzaran aquells paràmetres que afecten la degradació del flux de vídeo rebut per l'usuari final a través del servici d'IPTV. A nivell de xar- xa, s'identificaran dits paràmetres com aquells que afecten la qualitat de Servici (Quality of Service, QoS) com són el jitter, el retard, els paquets perduts i l'ample de banda principalment. A nivell d'usuari, estos paràmetres afecten la percepció subjectiva de l'usuari al visualitzar el vídeo. Comprovem com efectes derivats de la compresió, la quantificació, el bitrate, etc, afecten també a dita percepció.Cánovas Solbes, A. (2016). Diseño y Desarrollo de un Sistema de Gestión Inteligente de QoE para Redes HD y Estereoscópicas IPTV [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/65074TESI

An Integrated IoT Architecture for Smart Metering

(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Advanced meter infrastructures (AMIs) are systems that measure, collect, and analyze utilities distribution and consumption, and communicate with metering devices either on a schedule or on request. AMIs are becoming a vital part of utilities distribution network and allow the development of Smart Cities. In this article we propose an integrated Internet of Things architecture for smart meter networks to be deployed in smart cities. We discuss the communication protocol, the data format, the data gathering procedure, and the decision system based on big data treatment. The architecture includes electricity, water, and gas smart meters. Real measurements show the benefits of the proposed IoT architecture for both the customers and the utilities.Lloret, J.; Tomás Gironés, J.; Canovas Solbes, A.; Parra-Boronat, L. (2016). An Integrated IoT Architecture for Smart Metering. IEEE Communications Magazine. 54(12):50-57. doi:10.1109/MCOM.2016.1600647CMS5057541

A framework for obesity control using a wireless body sensor network

Low-cost low-power consumption small wireless sensor devices have empowered the development of wireless body area networks (WBANs). In WBANs many sensors are attached to human body for sensing particular health related information to improve healthcare and quality of life. Obesity is one of the most common problems all over the world, which is amongst main causes of cardiovascular diseases. In this research, we explore hardware and software architecture of WBAN for obesity monitoring. The proposed framework consists of few sensor nodes that monitor body motion, calories calculator, and a personal server running on a personal smart phone or a personal computer. The focus of this research is to make obesity patients easier to get rid of this disease.The authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University for funding this Research Group no. RG-1435-037.Alrajeh, NA.; Lloret, J.; Cánovas Solbes, A. (2014). A framework for obesity control using a wireless body sensor network. International Journal of Distributed Sensor Networks. 2014:1-6. https://doi.org/10.1155/2014/534760S162014Schmidt, R., Norgall, T., Mörsdorf, J., Bernhard, J., & von der Grün, T. (2002). Body Area Network BAN – a Key Infrastructure Element for Patient-Centered Medical Applications. Biomedizinische Technik/Biomedical Engineering, 47(s1a), 365-368. doi:10.1515/bmte.2002.47.s1a.365Garcia, M., Catala, A., Lloret, J., & Rodrigues, J. J. P. C. (2011). A wireless sensor network for soccer team monitoring. 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS). doi:10.1109/dcoss.2011.5982204Sun, G., Qiao, G., & Xu, B. (2012). Link Characteristics Measuring in 2.4 GHz Body Area Sensor Networks. International Journal of Distributed Sensor Networks, 8(10), 519792. doi:10.1155/2012/519792Tomas, J., Lloret, J., Bri, D., & Sendra, S. (2011). Sensors and their Application for Disabled and Elderly People. Handbook of Research on Personal Autonomy Technologies and Disability Informatics, 311-330. doi:10.4018/978-1-60566-206-0.ch020Latré, B., Braem, B., Moerman, I., Blondia, C., & Demeester, P. (2010). A survey on wireless body area networks. Wireless Networks, 17(1), 1-18. doi:10.1007/s11276-010-0252-4Zasowski, T., Meyer, G., Althaus, F., & Wittneben, A. (2006). UWB signal propagation at the human head. IEEE Transactions on Microwave Theory and Techniques, 54(4), 1836-1845. doi:10.1109/tmtt.2006.871989Bri, D., Lloret, J., Turro, C., & Garcia, M. (s. f.). Measuring Specific Absorption Rate by using Standard Communications Equipment. Telemedicine and E-Health Services, Policies, and Applications, 81-111. doi:10.4018/978-1-4666-0888-7.ch004Di Renzo, M., Buehrer, R. M., & Torres, J. (2007). Pulse Shape Distortion and Ranging Accuracy in UWB-Based Body Area Networks for Full-Body Motion Capture and Gait Analysis. IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference. doi:10.1109/glocom.2007.717Neirynck D.Channel characterisation and physical layer analysis for body and personal area network development [Ph.D. thesis]2006Bristol, UKUniversity of BristolSendra, S., Lloret, J., Garcia, M., & Toledo, J. F. (2011). Power Saving and Energy Optimization Techniques for Wireless Sensor Neworks (Invited Paper). Journal of Communications, 6(6). doi:10.4304/jcm.6.6.439-459Ranjit, J. S., & Shin, S. (2013). A Modified IEEE 802.15.4 Superframe Structure for Guaranteed Emergency Handling in Wireless Body Area Network. Network Protocols and Algorithms, 5(2), 1. doi:10.5296/npa.v5i2.3375Tang, Q., Tummala, N., Gupta, S. K. S., & Schwiebert, L. (2005). Communication Scheduling to Minimize Thermal Effects of Implanted Biosensor Networks in Homogeneous Tissue. IEEE Transactions on Biomedical Engineering, 52(7), 1285-1294. doi:10.1109/tbme.2005.847527Bag, A., & Bassiouni, M. (2006). Energy Efficient Thermal Aware Routing Algorithms for Embedded Biomedical Sensor Networks. 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Sysetems. doi:10.1109/mobhoc.2006.278619Quwaider, M., & Biswas, S. (2012). Delay Tolerant Routing Protocol Modeling for Low Power Wearable Wireless Sensor Networks. Network Protocols and Algorithms, 4(3). doi:10.5296/npa.v4i3.2054Machado, T. M. F., Lopes, I. M., Silva, B. M., Rodrigues, J. J. P. C., & Lloret, J. (2012). Performance evaluation of cooperation mechanisms for m-health applications. 2012 IEEE Global Communications Conference (GLOBECOM). doi:10.1109/glocom.2012.6503353Alrajeh, N. A., Khan, S., Lloret, J., & Loo, J. (2013). Secure Routing Protocol Using Cross-Layer Design and Energy Harvesting in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 9(1), 374796. doi:10.1155/2013/374796Macias, E., Suarez, A., & Lloret, J. (2013). Mobile Sensing Systems. Sensors, 13(12), 17292-17321. doi:10.3390/s131217292Meghanathan, N., & Mumford, P. (2013). Centralized and Distributed Algorithms for Stability-based Data Gathering in Mobile Sensor Networks. Network Protocols and Algorithms, 84. doi:10.5296/npa.v5i4.4208Hanson, M. A., Powell, H. C., Barth, A. T., Ringgenberg, K., Calhoun, B. H., Aylor, J. H., & Lach, J. (2009). Body Area Sensor Networks: Challenges and Opportunities. Computer, 42(1), 58-65. doi:10.1109/mc.2009.5Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., & Leung, V. C. M. (2010). Body Area Networks: A Survey. Mobile Networks and Applications, 16(2), 171-193. doi:10.1007/s11036-010-0260-8Lopes, I. M., Silva, B. M., Rodrigues, J. J. P. C., Lloret, J., & Proenca, M. L. (2011). A mobile health monitoring solution for weight control. 2011 International Conference on Wireless Communications and Signal Processing (WCSP). doi:10.1109/wcsp.2011.6096926Nachman, L., Huang, J., Shahabdeen, J., Adler, R., & Kling, R. (2008). IMOTE2: Serious Computation at the Edge. 2008 International Wireless Communications and Mobile Computing Conference. doi:10.1109/iwcmc.2008.19

Survey of Transportation of Adaptive Multimedia Streaming service in Internet

[DE] World Wide Web is the greatest boon towards the technological advancement of modern era. Using the benefits of Internet globally, anywhere and anytime, users can avail the benefits of accessing live and on demand video services. The streaming media systems such as YouTube, Netflix, and Apple Music are reining the multimedia world with frequent popularity among users. A key concern of quality perceived for video streaming applications over Internet is the Quality of Experience (QoE) that users go through. Due to changing network conditions, bit rate and initial delay and the multimedia file freezes or provide poor video quality to the end users, researchers across industry and academia are explored HTTP Adaptive Streaming (HAS), which split the video content into multiple segments and offer the clients at varying qualities. The video player at the client side plays a vital role in buffer management and choosing the appropriate bit rate for each such segment of video to be transmitted. A higher bit rate transmitted video pauses in between whereas, a lower bit rate video lacks in quality, requiring a tradeoff between them. The need of the hour was to adaptively varying the bit rate and video quality to match the transmission media conditions. Further, The main aim of this paper is to give an overview on the state of the art HAS techniques across multimedia and networking domains. A detailed survey was conducted to analyze challenges and solutions in adaptive streaming algorithms, QoE, network protocols, buffering and etc. It also focuses on various challenges on QoE influence factors in a fluctuating network condition, which are often ignored in present HAS methodologies. Furthermore, this survey will enable network and multimedia researchers a fair amount of understanding about the latest happenings of adaptive streaming and the necessary improvements that can be incorporated in future developments.Abdullah, MTA.; Lloret, J.; Canovas Solbes, A.; García-García, L. (2017). Survey of Transportation of Adaptive Multimedia Streaming service in Internet. Network Protocols and Algorithms. 9(1-2):85-125. doi:10.5296/npa.v9i1-2.12412S8512591-

A Network Algorithm for 3D/2D IPTV Distribution using WiMAX and WLAN Technologies

The final publication is available at link.springer.comThe appearance of new broadband wireless technologies jointly with the ability to offer enough quality of service to provide IPTV over them, have made possible the mobility and ubiquity of any type of device to access the IPTV network. The minimum bandwidth required in the access network to provide appropriate quality 3D/2D IPTV services jointly with the need to guarantee the Quality of Experience (QoE) to the end user, makes the need of algorithms that should be able to combine different wireless standards and technologies. In this paper, we propose a network algorithm that manages the IPTV access network and decides which type of wireless technology the customers should connect with when using multiband devices, depending on the requirements of the IPTV client device, the available networks, and some network parameters (such as the number of loss packets and packet delay), to provide the maximum QoE to the customer. The measurements taken in a real environment from several wireless networks allow us to know the performance of the proposed system when it selects each one of them. The measurements taken from a test bench demonstrate the success of our system.This work has been partially supported by the Polytechnic University of Valencia, though the PAID-15-10 multidisciplinary projects, by the Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal, and by National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia through the PEst-OE/EEI/LA0008/2011 Project.Lloret, J.; Cánovas Solbes, A.; Rodrigues, JJPC.; Lin, K. (2013). A Network Algorithm for 3D/2D IPTV Distribution using WiMAX and WLAN Technologies. Multimedia Tools and Applications. 67(1):7-30. https://doi.org/10.1007/s11042-011-0929-4S730671Abukharis S, MacKenzie R, Farrell TO (2009) Improving QoS of Video Transmitted Over 802.11 WLANs Using Frame Aggregation. London Communications Symposium.. London, United Kingdom, September 03–04Alejandro Canovas, Fernando Boronat, Carlos Turro and Jaime Lloret (2009) Multicast TV over WLAN in a University Campus Network, The Fifth International Conference on Networking and Services (ICNS 2009), Valencia (Spain), April 20–25Alfonsi B (2005) “I want my IPTV: Internet Protocol television predicted a winner,” IEEE Distributed Systems Online, vol.6, no.2Birlik F, Gurbuz Ö, Ercetin O (2009) IPTV Home Networking via 802.11 Wireless Mesh Networks: An Implementation Experience. IEEE Trans. on Consumer Electronics, Vol. 55, No. 3Cai LX, Ling X, Shen X, Mark JW, Cai L (2009) Supporting voice and video applications over IEEE 802.11n WLANs. Wireless Networks 15:443–454Cunningham G, Perry P, Murphy J, Murphy L (2009) Seamless Handover of IPTV Streams in a Wireless LAN Network. Transactions on Broadcasting, IEEE 55(4):796–801Dai Z, Fracchia R, Gosteau J, Pellati P, Vivier G (2008) Vertical Handover Criteria and Algorithm in IEEE802.11 and 802.16 Hybrid Networks, IEEE International Conference on Communications, 2008. ICC’08. Beijing, China, 19–23Gidlund M, Ekling J (2008) VoIP and IPTV distribution over wireless mesh networks in indoor environment. IEEE Trans Consum Electron 54(4):1665–1671Hellberg C, Greene D, Boyes T (2007) Broadband network architectures: designing and deploying triple-play services. Prentice Hall PTR Upper Saddle River, NJ, USAHsu H-T, Kuo F-Y, Lu P-H (2010) Design of WiFi/WiMAX dual-band E-shaped patch antennas through cavity model approach. 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IEEE Commun Mag 43(10):49–56Lai C, Min Chen (2011) Playback-Rate Based Streaming Services for Maximum Network Capacity in IP Multimedia Subsystem, IEEE System Journal, doi: 10.1109/JSYST.2011.2165190Lee K-H, Trong ST, Lee B-G, Kim Y-T (2008) QoS-Guaranteed IPTV Service Provisioning in Home Network with IEEE 802.11e Wireless LAN,” IEEE Network Operations and Management Symposium. pp 71-76Marcelo Atenas, Sandra Sendra, Miguel Garcia, Jaime Lloret (2010) IPTV Performance in IEEE 802.11n WLANs, IEEE Global Communications Conference (IEEE Globecomm 2010), Miami (USA), December 6–10Miguel Garcia, Jaime Lloret, Miguel Edo, Raquel Lacuesta (2009) IPTV Distribution Network Access System Using WiMAX and WLAN Technologies, International Symposium on High Performance Distributed Computing (HPDC 2009), Munich (Germany), June 11–13Park AH, Choi JK (2007) “QoS guaranteed IPTV service over Wireless Broadband network”, The 9th Int. 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Controlling P2P File-Sharing Networks Traffic

Since the appearance of Peer-To-Peer (P2P) file-sharing networks some time ago, many Internet users have chosen this technology to share and search programs, videos, music, documents, etc. The total number of P2P file-sharing users has been increasing and decreasing in the last decade depending on the creation or end of some well known P2P file-sharing systems. P2P file-sharing networks traffic is currently overloading some data networks and it is a major headache for network administrators because it is difficult to control this kind of traffic (mainly because some P2P file-sharing networks encrypt their messages). This paper deals with the analysis, taxonomy and characterization of eight Public P2P file-sharing networks: Gnutella, Freeenet, Soulseek, BitTorrent, Opennap, eDonkey, MP2P and FastTrack. These eight most popular networks have been selected due to their different type of working architecture. Then, we will show the amount of users, files and the size of files inside these file-sharing networks. Finally, several network configurations are presented in order to control P2P file-sharing traffic in the network.García Pineda, M.; Hammoumi, M.; Canovas Solbes, A.; Lloret, J. (2011). Controlling P2P File-Sharing Networks Traffic. Network Protocols and Algorithms. 3(4):54-92. doi:10.5296/npa.v3i4.1365S54923

Speech Translation Statistical System for Teaching Environments and Conference Speeches

The synergic combination of different sources of knowledge is a key aspect in the development of modern statistical translators. The effect and implications of adding additional other-than-voice information in a voice translation system for teaching environments and conference speakers is described in this work. The additional information serves as the bases for the log-linear combination of several statistical models. A prototype that implements a real-time speech translation system from Spanish to English is presented. In the scenario of analysis a teacher, or presenter, as speaker giving its presentation could use a real time translation system for foreign students or participants. The speaker could add slides or class notes as additional reference to the voice translation system. Should notes be already translated into the destination language the system could have even more accuracy. In this paper, first, we present the theoretical framework of the problem, then, we summarize the overall architecture of the system, next, we specify the speech recognition module and the machine translation module, then, we show how the system is enhanced with capabilities related to capturing the additional information, and, finally, we present the performance results of the developed system.Tomás Gironés, J.; Canovas Solbes, A.; Lloret, J.; García Pineda, M. (2011). Speech Translation Statistical System for Teaching Environments and Conference Speeches. International Journal on Advances in Intelligent Systems. 4(1):20-30. http://hdl.handle.net/10251/46962S20304

An Intelligent System to Detect the Type of Devices Sending and Receiving Data in the Network

Nowadays mobile and fixed devices are used interchangeably for surfing the web due to the huge improvements performed in mobile devices in the recent years. Both mobile and fixed devices with Internet connectivity are supplied with different types of connection, thus users can select the best one at any time depending on their environment. In general, the mobile devices allow users access to Internet using the 3G network or a common WiFi connection, and the fixed ones generally use a wireless or wired connection. Selecting one or another type of connection implies different features of the network environment, so Internet Service Providers need to adapt their infrastructure to guarantee acceptable levels of Quality of Service in every type of connection. In this paper we study the behavior of the devices according to their nature, that is, if it is a mobile or fixed device. First, we have classified the most significant network parameters and software application values in order to know the nature of the device. Our proposal uses an intelligent system based on neural networks and finite state machines that lets the Internet Service Provider know the type of device belongs to the traffic going to its network. The system analyzes the transport and application layers from TCP packets to discriminate the percentage of Internet traffic generated by mobile and fixed devices. Test results show the success of the developed system.Bri Molinero, D.; Canovas Solbes, A.; Tomás Gironés, J.; Lloret, J. (2013). An Intelligent System to Detect the Type of Devices Sending and Receiving Data in the Network. Network Protocols and Algorithms. 5(2):72-91. doi:10.5296/npa.v5i2.3833S72915

Full Geo-localized Mobile Video in Android Mobile Telephones

[EN] The evolution of mobile telephones have produced smart devices that not only allows the mobile user to talk but also to use a lot of telematic services. High quality photos and videos are produced by smart mobile telephones. The Global Positioning System available in the Mobile telephones allows the user to tag their photos and videos. There are several photo and integral video tagging mobile software but there is not a mobile application that allows the mobile users to tag the full video frames. This full tagging process allows the mobile user to tag independent video frames in order to explode the photo-video properties of the integral video. In this paper we present a mobile application and a Server application that allow the mobile user to full tag the mobile videos and share them with other users (registered in the Server). We present some tradeoffs present in the design of the tagging processMacias Lopez, EM.; Abdelfatah, H.; Suarez Sarmiento, A.; Canovas Solbes, A. (2011). Full Geo-localized Mobile Video in Android Mobile Telephones. Network Protocols and Algorithms. 3(1):64-81. doi:10.5296/npa.v3i1.641S64813