Architecture and protocol of a semantic system designed for video tagging with sensor data in mobile devices.
Identifieur interne : 000296 ( PubMed/Corpus ); précédent : 000295; suivant : 000297Architecture and protocol of a semantic system designed for video tagging with sensor data in mobile devices.
Auteurs : Elsa Macias ; Jaime Lloret ; Alvaro Suarez ; Miguel GarciaSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2012.
English descriptors
- KwdEn :
- MESH :
Abstract
Current mobile phones come with several sensors and powerful video cameras. These video cameras can be used to capture good quality scenes, which can be complemented with the information gathered by the sensors also embedded in the phones. For example, the surroundings of a beach recorded by the camera of the mobile phone, jointly with the temperature of the site can let users know via the Internet if the weather is nice enough to swim. In this paper, we present a system that tags the video frames of the video recorded from mobile phones with the data collected by the embedded sensors. The tagged video is uploaded to a video server, which is placed on the Internet and is accessible by any user. The proposed system uses a semantic approach with the stored information in order to make easy and efficient video searches. Our experimental results show that it is possible to tag video frames in real time and send the tagged video to the server with very low packet delay variations. As far as we know there is not any other application developed as the one presented in this paper.
DOI: 10.3390/s120202062
PubMed: 22438753
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pubmed:22438753Le document en format XML
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<author><name sortKey="Macias, Elsa" sort="Macias, Elsa" uniqKey="Macias E" first="Elsa" last="Macias">Elsa Macias</name>
<affiliation><nlm:affiliation>Grupo de Arquitectura y Concurrencia (GAC), Departamento de Ingeniería Telemática, Universidad de Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017, Las Palmas de Gran Canaria (Gran Canaria), Spain. emacias@dit.ulpgc.es</nlm:affiliation>
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<author><name sortKey="Lloret, Jaime" sort="Lloret, Jaime" uniqKey="Lloret J" first="Jaime" last="Lloret">Jaime Lloret</name>
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<author><name sortKey="Suarez, Alvaro" sort="Suarez, Alvaro" uniqKey="Suarez A" first="Alvaro" last="Suarez">Alvaro Suarez</name>
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<author><name sortKey="Garcia, Miguel" sort="Garcia, Miguel" uniqKey="Garcia M" first="Miguel" last="Garcia">Miguel Garcia</name>
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<front><div type="abstract" xml:lang="en">Current mobile phones come with several sensors and powerful video cameras. These video cameras can be used to capture good quality scenes, which can be complemented with the information gathered by the sensors also embedded in the phones. For example, the surroundings of a beach recorded by the camera of the mobile phone, jointly with the temperature of the site can let users know via the Internet if the weather is nice enough to swim. In this paper, we present a system that tags the video frames of the video recorded from mobile phones with the data collected by the embedded sensors. The tagged video is uploaded to a video server, which is placed on the Internet and is accessible by any user. The proposed system uses a semantic approach with the stored information in order to make easy and efficient video searches. Our experimental results show that it is possible to tag video frames in real time and send the tagged video to the server with very low packet delay variations. As far as we know there is not any other application developed as the one presented in this paper.</div>
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<Abstract><AbstractText>Current mobile phones come with several sensors and powerful video cameras. These video cameras can be used to capture good quality scenes, which can be complemented with the information gathered by the sensors also embedded in the phones. For example, the surroundings of a beach recorded by the camera of the mobile phone, jointly with the temperature of the site can let users know via the Internet if the weather is nice enough to swim. In this paper, we present a system that tags the video frames of the video recorded from mobile phones with the data collected by the embedded sensors. The tagged video is uploaded to a video server, which is placed on the Internet and is accessible by any user. The proposed system uses a semantic approach with the stored information in order to make easy and efficient video searches. Our experimental results show that it is possible to tag video frames in real time and send the tagged video to the server with very low packet delay variations. As far as we know there is not any other application developed as the one presented in this paper.</AbstractText>
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