Conference proceeding
FINDING VIPS - A VISUAL IMAGE PERSONS SEARCH USING A CONTENT PROPERTY REASONER AND WEB ONTOLOGY
2011 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), pp 1-7
01 Jan 2011
Abstract
We present a semantic based search tool, VIPs, i.e. Visual Image Persons Search, on the domain of VIPs, i.e. very important people. Our tool explores the possibilities of content based image search supported by ontological reasoning. Our framework integrates information from both image processing algorithms and semantic knowledge bases to perform interesting queries that would otherwise be impossible. We describe a novel property reasoner that is able to translate low level image features into semantically relevant object properties. Finally, we demonstrate interesting searches supported by our framework on the domain of people, the majority of whom are movie celebrities, using the properties translated by our system as well as existing ontologies available on the web.
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Details
- Title
- FINDING VIPS - A VISUAL IMAGE PERSONS SEARCH USING A CONTENT PROPERTY REASONER AND WEB ONTOLOGY
- Creators
- Edward Kim - Lehigh UniversityXiaolei Huang - Lehigh UniversityJeff Heflin - Lehigh University
- Publication Details
- 2011 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), pp 1-7
- Series
- IEEE International Conference on Multimedia and Expo
- Publisher
- IEEE
- Number of pages
- 7
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000297172100160
- Scopus ID
- 2-s2.0-80155191856
- Other Identifier
- 991021884692604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Software Engineering
- Engineering, Electrical & Electronic
- Telecommunications