Multimedia access to mobile environments using indoor semantic mapsApplications for light devices and hand-held computers

被引:0
|
作者
Javier Medina
Maria Dolores Ruiz Lozano
Miguel Delgado
Amparo Vila
机构
[1] University of Granada,School of Computer Science, Department of Computer Science and Artificial Intelligent
来源
关键词
Semantic maps; Multimedia resources; Mobile devices; Real-Time; Routing; Indoor space;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we present a semantic map model in order to represent multimedia environments using mobile devices. Our approach makes it possible defining indoor maps and locating the objects of interest. This model is based on an Ontology, which defines both semantic qualities and graphic forms of the objects that exist in the multimedia environment (rooms, doors, cameras, ...). The semantic of the maps enables to query and to reason the map content automatically. For example, in this work, we solve the indoor routing adding a heuristic that exploits the topology of the interior spaces, which has been evaluated by obtaining a significant improvement in indoor spaces. In addition, the proposed Ontology includes the location and the remote services of the multimedia resources, such as ambient cameras and microphones. Thus, users can access in real time to multimedia resources through the maps displayed on mobile devices. The mobile applications have been developed, tested and measured both in light devices and hand-held computers.
引用
收藏
页码:341 / 362
页数:21
相关论文
共 50 条
  • [21] A Comparison of Two Methods to Assess the Usage of Mobile Hand-Held Communication Devices
    Berolo, Sophia
    Steenstra, Ivan
    Amick, Benjamin C., III
    Wells, Richard P.
    [J]. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE, 2015, 12 (04) : 276 - 285
  • [22] A Review of Hand-Held, Home-Use Cosmetic Laser and Light Devices
    Hession, Meghan T.
    Markova, Alina
    Graber, Emmy M.
    [J]. DERMATOLOGIC SURGERY, 2015, 41 (03) : 307 - 320
  • [23] Fall detection and activity identification using wearable and hand-held devices
    Maglogiannis, Ilias
    Ioannou, Charalampos
    Tsanakas, Panayiotis
    [J]. INTEGRATED COMPUTER-AIDED ENGINEERING, 2016, 23 (02) : 161 - 172
  • [24] Clearance Monitoring Using Hand-held Devices: Operational Implementation and Challenges
    Wellens, Bart
    Brandl, Alexander
    [J]. HEALTH PHYSICS, 2013, 104 (05): : S76 - S82
  • [25] USING MOBILE DEVICES FOR TOPOLOGICAL INFERENCE OF INDOOR ENVIRONMENTS
    Paiva, Marco
    Petry, Marcelo
    Rossetti, Rosaldo J. F.
    [J]. ICAART: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 2012, : 427 - 432
  • [26] Tracking locations of moving hand-held displays using projected light
    Summet, J
    Sukthankar, R
    [J]. PERVASIVE COMPUTING, PROCEEDINGS, 2005, 3468 : 37 - 46
  • [27] A Comparative Study of Traffic Properties for Web Pages Optimized for Mobile Hand-Held and Non-mobile Devices
    Flohr, Julius
    Charzinski, Joachim
    [J]. MEASUREMENT, MODELLING, AND EVALUATION OF COMPUTING SYSTEMS AND DEPENDABILITY AND FAULT-TOLERANCE, 2014, 8376 : 29 - 42
  • [28] Feasibility study of abdominal ultrasound using hand-held devices in homecare services
    Vilanova-Rotllan, Sergi
    Kostov, Belchin
    Martos, M. Jose Giner
    Benavent-Areu, Jaume
    Siso-Almirall, Antoni
    [J]. MEDICINA CLINICA, 2022, 158 (08): : 361 - 365
  • [29] Patient-centered educational intervention using hand-held electronic devices
    Hellmers, N.
    Hanineva, A.
    Stribling, J. C.
    Carter, J.
    Henchliffe, C.
    [J]. MOVEMENT DISORDERS, 2016, 31 : S137 - S137
  • [30] Counting Large Flocks of Birds Using Videos Acquired with Hand-Held Devices
    Dash, Amanda
    Albu, Alexandra Branzan
    [J]. ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2017), 2017, 10617 : 468 - 478