Occam's razor: supporting visual query expression for content-based image queries

Colin C. Venters, Richard J. Hartley, William T. Hewitt

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


This paper reports the results of a usability experiment that investigated visual query formulation on three dimensions: effectiveness, efficiency, and user satisfaction. Twenty eight evaluation sessions were conducted in order to assess the extent to which query by visual example supports visual query formulation in a content-based image retrieval environment. In order to provide a context and focus for the investigation, the study was segmented by image type, user group, and use function. The image type consisted of a set of abstract geometric device marks supplied by the UK Trademark Registry. Users were selected from the 14 UK Patent Information Network offices. The use function was limited to the retrieval of images by shape similarity. Two client interfaces were developed for comparison purposes: Trademark Image Browser Engine (TRIBE) and Shape Query Image Retrieval Systems Engine (SQUIRE).

Original languageEnglish
Title of host publicationProceedings of Internet Imaging VI
Subtitle of host publicationElectronic Imaging 2005
EditorsSimone Santini, Raimondo Schettini, Theo Gevers
Number of pages12
ISBN (Print)0819456438, 9780819456434
Publication statusPublished - 17 Jan 2005
Externally publishedYes
EventElectronic Imaging 2005 - San Jose, United States
Duration: 16 Jan 200520 Jan 2005

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceElectronic Imaging 2005
Country/TerritoryUnited States
CitySan Jose


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