Skip to main navigation Skip to search Skip to main content

Applications of image understanding in semantics-oriented multimedia information retrieval

  • State University of New York Binghamton University
  • SUNY Buffalo

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

3 Scopus citations

Abstract

This paper focuses on research on the development of semantics-oriented multimedia information retrieval techniques. Semantics-oriented information retrieval addresses the effectiveness of the retrieval. With the goal of significantly improving retrieval precision and query capability, image understanding technologies are applied to develop effective retrieval techniques. Specifically, three techniques can developed by combining IU technologies (i.e., face detection) with other existing or developed techniques (i.e., text indexing, conventional similarity matching and face identification) for image retrieval. These techniques are evaluated to demonstrate the significance of the semantics-oriented multimedia information retrieval.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Multimedia Software Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages93-96
Number of pages4
ISBN (Electronic)0769509339, 9780769509334
DOIs
StatePublished - 2000
EventInternational Symposium on Multimedia Software Engineering, MSE 2000 - Taipei, Taiwan, Province of China
Duration: Dec 11 2000Dec 13 2000

Publication series

NameProceedings - International Symposium on Multimedia Software Engineering

Conference

ConferenceInternational Symposium on Multimedia Software Engineering, MSE 2000
Country/TerritoryTaiwan, Province of China
CityTaipei
Period12/11/0012/13/00

Keywords

  • Image Retrieval
  • Image Understanding
  • Multimedia Information Retrieval

Fingerprint

Dive into the research topics of 'Applications of image understanding in semantics-oriented multimedia information retrieval'. Together they form a unique fingerprint.

Cite this