Attributes of images in describing tasks
Information Processing and Management: an International Journal
Analysis of a very large web search engine query log
ACM SIGIR Forum
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
An analysis of image queries in the field of art history
Journal of the American Society for Information Science and Technology
Subject categorization of query terms for exploring Web users' search interests
Journal of the American Society for Information Science and Technology
Searching for images: the analysis of users' queries for image retrieval in American history
Journal of the American Society for Information Science and Technology
The state of the art in image and video retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
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Searching digital images on a networked environment is rapidly growing. Despite recent advances in image retrieval technologies, high-precision and robust solutions remain hampered by limits to knowledge about user issues associated with image retrieval. This paper examines a large number of queries from a Web image search engine, and attempts to develop an analytic model to investigate their implications for image retrieval technologies. The model employs the concepts of uniqueness and refinement to categorize successful and failed queries. The results show that image requests have a higher specificity and may often contain queries refined by interpretive, reactive, and perceptual attributes. Based on the proposed model, the study further investigates feasible technical solutions integrating both content-based and concept-based technologies to deal with real image query types. The initial study has provided useful results that enhance the understanding of digital image searching and suggests implications for the improvement of image retrieval systems.