ShapeExplorer: Querying and exploring shapes using visual knowledge

Tong Ge, Yafang Wang, Gerard De Melo, Zengguang Hao, Andrei Sharf, Baoquan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With unprecedented amounts of multimodal data on the Internet, there is an increasing demand for systems with a more fine-grained understanding of visual data. ShapeExplorer is an interactive software tool based on a detailed analysis of images in terms of object shapes and parts. For instance, given an image of a donkey, the system may rely on previously acquired knowledge about zebras and dogs to automatically locate and label the head, legs, tail, and so on. Based on such semantic models, ShapeExplorer can then generate morphing animations, synthesize new shape contours, and support object part-based queries as well as clipart-based image retrieval.

Original languageEnglish (US)
Title of host publicationAdvances in Database Technology - EDBT 2016
Subtitle of host publication19th International Conference on Extending Database Technology, Proceedings
EditorsIoana Manolescu, Evaggelia Pitoura, Amelie Marian, Sofian Maabout, Letizia Tanca, Georgia Koutrika, Kostas Stefanidis
PublisherOpenProceedings.org
Pages648-651
Number of pages4
ISBN (Electronic)9783893180707
DOIs
StatePublished - 2016
Externally publishedYes
Event19th International Conference on Extending Database Technology, EDBT 2016 - Bordeaux, France
Duration: Mar 15 2016Mar 18 2016

Publication series

NameAdvances in Database Technology - EDBT
Volume2016-March
ISSN (Electronic)2367-2005

Other

Other19th International Conference on Extending Database Technology, EDBT 2016
CountryFrance
CityBordeaux
Period3/15/163/18/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software
  • Computer Science Applications

Keywords

  • Shape knowledge harvesting
  • Shape matching
  • Shape segmentation
  • Shape synthesis

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