{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/automatic-query-image-disambiguation-for","title":"Automatic Query Image Disambiguation for Content-Based Image Retrieval","arxiv_id":"1711.00953","date":"2017-11-02","proceeding":null,"authors":["Björn Barz","Joachim Denzler"],"abstract":"Query images presented to content-based image retrieval systems often have\nvarious different interpretations, making it difficult to identify the search\nobjective pursued by the user. We propose a technique for overcoming this\nambiguity, while keeping the amount of required user interaction at a minimum.\nTo achieve this, the neighborhood of the query image is divided into coherent\nclusters from which the user may choose the relevant ones. A novel feedback\nintegration technique is then employed to re-rank the entire database with\nregard to both the user feedback and the original query. We evaluate our\napproach on the publicly available MIRFLICKR-25K dataset, where it leads to a\nrelative improvement of average precision by 23% over the baseline retrieval,\nwhich does not distinguish between different image senses.","url_abs":"http://arxiv.org/abs/1711.00953v1","url_pdf":"http://arxiv.org/pdf/1711.00953v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"automatic-query-image-disambiguation-for","repo_url":"https://github.com/cvjena/aid","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"content-based-image-retrieval","task_name":"Content-Based Image Retrieval"},{"task_slug":"image-retrieval","task_name":"Image Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[{"method_slug":"1-bit-adam","method_name":"1-bit Adam"},{"method_slug":"adam","method_name":"Adam"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}