Generic framework for content-based stereo image/video retrieval

Y. Feng, Jinchang Ren, J. Jiang

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

With the increasing number of stereo images/videos in commercial markets, the demand for content-based image retrieval (CBIR) to deal with stereo media becomes urgent. To meet this demand, a novel framework is proposed where depth cues are extracted from stereo pairs and employed in a re-ranking scheme to refine results from conventional CBIR. Experiments show the proposed method yields promising results in retrieving stereo content.
Original languageEnglish
Pages (from-to)97-98
Number of pages2
JournalElectronics Letters
Volume47
Issue number2
DOIs
Publication statusPublished - Jan 2011

Keywords

  • content addressable storage
  • content based retrieval
  • image retrieval
  • stereo image processing
  • stereo media

Fingerprint Dive into the research topics of 'Generic framework for content-based stereo image/video retrieval'. Together they form a unique fingerprint.

  • Cite this