Indexing and access for digital libraries and the Internet: human, database, and domain factors
Journal of the American Society for Information Science
The NASA image collection visual thesaurus
Journal of the American Society for Information Science
Image searching on the Excite web search engine
Information Processing and Management: an International Journal
A conceptual framework and empirical research for classifying visual descriptors
Journal of the American Society for Information Science and Technology
Photo annotation on a camera phone
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Semantic categorization of digital home photo using photographic region templates
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
The evolution of visual information retrieval
Journal of Information Science
Theories of cognition and image categorization: What category labels reveal about basic level theory
Journal of the American Society for Information Science and Technology
Information Processing and Management: an International Journal
Towards a user-oriented thesaurus for non-domain-specific image collections
Information Processing and Management: an International Journal
Collective indexing of emotions in images. A study in emotional information retrieval
Journal of the American Society for Information Science and Technology
Annual Review of Information Science and Technology
Ontological access to images of fine art
Journal on Computing and Cultural Heritage (JOCCH)
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Few studies have been conducted to identify usersâ聙聶 desired semantic levels of image access when describing, searching, and retrieving photographs online. The basic level, or the level of abstraction most commonly used to describe an item, is a cognitive theory currently under consideration in image retrieval research. This study investigates potential basic levels of description for online photographs by testing the Hierarchy for Online Photograph Representation (HOPR) model, which is based on a need for a model that addresses usersâ聙聶 basic levels of photograph description and retrieval. We developed the HOPR model using the following three elements as guides: the most popular tags of all time on Flickr, the Pyramid model for visual content description by J脙露rgensen, Jaimes, Benitez, and Chang, and the nine classes of image content put forth by Burford, Briggs, and Eakins. In an exploratory test of the HOPR model, participants were asked to describe their first reaction to, and possible free-text indexing terms for, a small set of personal photographs. Content analysis of the data indicated a clear set of user preferences that are consistent with prior image description studies. Generally speaking, objects in the photograph and events taking place in the photograph were the most commonly used levels of description. The preliminary HOPR model shows promise for its intended utility, but further refinement is needed through additional research.