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Search strategies in content-based image retrieval
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval table of contents
Toronto, Canada
SESSION: Human interaction table of contents
Pages: 80 - 87  
Year of Publication: 2003
ISBN:1-58113-646-3
Authors
Sharon McDonald  University of Sunderland, St Peter's Campus , Sunderland, United Kingdom
John Tait  University of Sunderland, St Peter's Campus , Sunderland, United Kingdom
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 21,   Downloads (12 Months): 129,   Citation Count: 8
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ABSTRACT

This paper describes two studies that looked at users' ability to formulate visual queries with a Content-Based Image Retrieval system that uses dominant image colour as the primary indexing key. The first experiment examined users' performance with two visual search tools, a sketch tool and a structured browsing tool, with different types of image query. The results showed that while users were able to successfully search on the basis of colour, and were able to formulate visual queries, their ability to do so was affected by search task type. Search task type was also shown to be related to search tool choice. However, the results of study two showed that while users were able to complete all of the tasks, there was evidence to suggest that a degree of compromise was present in the users' choice of image that was largely due to problems relating to query formulation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  8

Collaborative Colleagues:
Sharon McDonald: colleagues
John Tait: colleagues