Skip to main navigation Skip to search Skip to main content

Image background search: Combining object detection techniques with content-based image retrieval (CBIR) systems

  • SUNY Buffalo

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

13 Scopus citations

Abstract

A framework for combining object detection techniques with a content based image retrieval (CBIR) system is discussed. As an example, a special CBIR system which focuses on human faces as foreground and decides the similarity of images based on background features is presented. This system may be useful in automatically generating albums from consumer photos.

Original languageEnglish
Title of host publicationProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1999 - In conjunction with IEEE CVPR 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages97-101
Number of pages5
ISBN (Electronic)076950034X, 9780769500348
DOIs
StatePublished - 1999
Event1999 IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1999 - Fort Collins, United States
Duration: Jun 22 1999 → …

Publication series

NameProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1999 - In conjunction with IEEE CVPR 1999

Conference

Conference1999 IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1999
Country/TerritoryUnited States
CityFort Collins
Period06/22/99 → …

Keywords

  • Averaged Precision and Recall (APR)
  • Background Retrieval
  • Content-Based Image Retrieval (CBIR)
  • Foreground Retrieval
  • Performance Area

Fingerprint

Dive into the research topics of 'Image background search: Combining object detection techniques with content-based image retrieval (CBIR) systems'. Together they form a unique fingerprint.

Cite this