Object Identification Based on the Automated Extraction of Spatial Semantics from Web3D Scenes

Journal Title: Annals of Emerging Technologies in Computing - Year 2018, Vol 2, Issue 4

Abstract

We present a web-based methodology for the extraction of semantic information and object identification in poorly annotated Web3D scenes. Our approach is based on a set of rules that mimic human spatial cognition, backed by an indexing mechanism for the automated spatial correlation between objects in terms of linguistic predicates. The proposed methodology is comprised of real-time techniques with broad application areas, ranging from CAD and 3D room planning tools based on architectural designs, to medical and e-learning environments where their objects’ relative position is closely associated with identification attributes.

Authors and Affiliations

Konstantinos Kontakis, Athanasios G. Malamos, Steiakaki Malvina, Spyros Panagiotakis

Keywords

Related Articles

A Survey of Distributed Certificate Authorities in MANETs

A Certificate Authority (CA) provides the critical authentication and security services for Public Key Infrastructure (PKI) which are used for the Internet and wired networks. In MANETs (wireless and ad hoc) there is an...

E-mobile Acceptance Using Unified Theory of Acceptance and Use of Technology (UTAUT): Research on Universities in Jordan

An investigation into the variables that have a bearing on the acceptance of D-learning (Digital-learning) services such as E-learning and M-learning, in Jordanian universities is presented. This is followed with a discu...

Comparing the Complexity of Two Network Architectures

A Service Provider has different methods to provide a VPN service to its customers. But which method is the least complex to implement? In this paper, two architectures are described and analysed. Based on the analyses,...

Sensor Networks Attacks Classifications and Mitigation

Wireless Sensor Networks (WSNs) are exposed to many security attacks, and it can be easily compromised. One of the main reasons for these vulnerabilities is the deployment nature, where sensor nodes are deployed without...

Mobile Assisted Language Learning (MALL) – A Brief Survey

This research article presents a brief survey of language learning applications implemented on mobile computing devices, such as cellular mobile phones. The corpus of the literature show the efficacy and effectiveness of...

Download PDF file
  • EP ID EP394204
  • DOI 10.33166/AETiC.2018.04.001
  • Views 78
  • Downloads 0

How To Cite

Konstantinos Kontakis, Athanasios G. Malamos, Steiakaki Malvina, Spyros Panagiotakis (2018). Object Identification Based on the Automated Extraction of Spatial Semantics from Web3D Scenes. Annals of Emerging Technologies in Computing, 2(4), 1-10. https://europub.co.uk/articles/-A-394204