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- W2093301878 abstract "This tutorial focuses on challenges and solutions for content-based image annotation and retrieval in the context of online image sharing and tagging. We present a unified review on three closely linked problems, i.e., tag assignment, tag refinement, and tag-based image retrieval. We introduce a taxonomy to structure the growing literature, understand the ingredients of the main works, clarify their connections and difference, and recognize their merits and limitations. Moreover, we present an open-source testbed, with training sets of varying sizes and three test datasets, to evaluate methods of varied learning complexity. A selected set of eleven representative works have been implemented and evaluated. During the tutorial we provide a practice session for hands on experience with the methods, software and datasets. For repeatable experiments all data and code are online at http://www.micc.unifi.it/tagsurvey" @default.
- W2093301878 created "2016-06-24" @default.
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- W2093301878 date "2015-10-13" @default.
- W2093301878 modified "2023-10-02" @default.
- W2093301878 title "Image Tag Assignment, Refinement and Retrieval" @default.
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- W2093301878 doi "https://doi.org/10.1145/2733373.2807419" @default.
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