The Accuracy and Value of Machine-Generated Image Tags: Design and User Evaluation of an End-to-End Image Tagging System
Automated image tagging is a problem of great interest, due to the proliferation of photo sharing services. Researchers have achieved considerable advances in understanding motivations and usage of tags, recognizing relevant tags from image content, and leveraging community input to recommend more tags. In this work we address several important issues in building an end-to-end image tagging application, including tagging vocabulary design, taxonomy-based tag refinement, classifier score...[Show more]
|Collections||ANU Research Publications|
|Source:||CIVR '10 Proceedings of the ACM International Conference on Image and Video Retrieval|
|01_Xie_The_Accuracy_and_Value_of_2010.pdf||497.58 kB||Adobe PDF||Request a copy|
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