Query-by-gesture: An alternative content-based image retrieval query scheme

Byoung Chul Ko, Hyeran Byun

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Current research on content-based image retrieval (CBIR)is centered on designing efficient query schemes in order to provide a user with effective mechanisms for image databse search. Among representative CBIR query schemes, query-by-sketch has been one of the attractive query tools that are highly adaptive to user's subjectivity. However, query-by-sketch has a few limitations. That is, most sketch tools demand expertise in image processing or computer vision of the user to provide good enough sketches that can be used as query. Furthermore, sketching the exact shape of an object using amouse can be a burden on the user. To overcome some of the limitations associated with query-by-sketch, we propose a new query method for CIBR, query-by-gesture, that does not require sketches, thereby minimizing user interaction. In our system, the user does not need to use a mouse to make a sketch. Instead, the user draws the shape of the object that he/she intends to search in front of a camera by hand. In addition, our query-by-gesture technique uses relevance feedback to interactively improve retrieval performance and allow progressive refinement of query results according to the user's specification. The efficacy of our proposed method is validated using images from the Corel-Photo CD.

Original languageEnglish
Pages (from-to)375-390
Number of pages16
JournalJournal of Visual Languages and Computing
Volume13
Issue number4
DOIs
Publication statusPublished - 2002 Aug

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Human-Computer Interaction
  • Computer Science Applications

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