Content-Based Information Retrieval in Large VR Scene Database

Timothy K. Shih, Yi Ping Hung, Jiun Hung Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Most content-based retrieval (CBR) techniques such as shape and color comparison among objects are for image and video. The mechanisms are designed based on 2-D information. We propose a naive shape similarity function, based on 3-D information extracted from a VRML scene database. The method is the first step of our project, which aims to incorporate future extraction of virtual reality objects, such as chairs, car, and others in 3-D space. House interior designers can use the proposed system. The user can select proper scenes and furniture in order to meet the requirement of potential customers.

Original languageEnglish
Title of host publicationProceedings of the 6th Joint Conference on Information Sciences, JCIS 2002
EditorsJ.H. Caulfield, S.H. Chen, H.D. Cheng, R. Duro, J.H. Caufield, S.H. Chen, H.D. Cheng, R. Duro, V. Honavar
Pages968-971
Number of pages4
StatePublished - 2002
EventProceedings of the 6th Joint Conference on Information Sciences, JCIS 2002 - Research Triange Park, NC, United States
Duration: 8 Mar 200213 Mar 2002

Publication series

NameProceedings of the Joint Conference on Information Sciences
Volume6

Conference

ConferenceProceedings of the 6th Joint Conference on Information Sciences, JCIS 2002
Country/TerritoryUnited States
CityResearch Triange Park, NC
Period8/03/0213/03/02

Keywords

  • Content-Based Retrieval
  • Shape Similarity
  • Virtual Reality
  • VRML

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