e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Title

Video Summarization for Object Tracking in the Internet of Things

en
Abstract

Object tracking in the Internet of Things (IoT) has become a hot topic over the past ten years. Currently, the integration of video and radio-frequency identification (RFID) technology plays a crucial role in item-level activity recognition. Various techniques and applications have been proposed for visual object tracking. However, identifying semantic features of item-level objects in huge size of video content is a non-trivial task, especially in supply chain management. To alleviate this problem, this paper presents a novel method that applies IoT information to facilitate video summarization. Differing from common video summarization techniques, we use IoT information to select keyframes of the video content during the background model establishment. Then we match other keyframes with the background to extract important features. Finally, a compact summarization image for queried objects is generated according to a clustering analysis. We have also performed experiments to confirm the effectiveness of the proposed work.

en
Year
2014
en
Country
  • GB
Organization
  • Univ_Southampton (UK)
Data keywords
  • internet of things
  • semantic
en
Agriculture keywords
  • supply chain
en
Data topic
  • big data
  • information systems
  • modeling
  • sensors
en
SO
2014 EIGHTH INTERNATIONAL CONFERENCE ON NEXT GENERATION MOBILE APPS, SERVICES AND TECHNOLOGIES (NGMAST)
Document type

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Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.