Generic framework for content-based stereo image/video retrieval

Y. Feng, Jinchang Ren, J. Jiang

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


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
Issue number2
Publication statusPublished - Jan 2011


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


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