{"id":"https://openalex.org/W2117598403","doi":"https://doi.org/10.1109/icme.2002.1035633","title":"Mosaic feedback for sketch training and retrieval improvement","display_name":"Mosaic feedback for sketch training and retrieval improvement","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2117598403","doi":"https://doi.org/10.1109/icme.2002.1035633","mag":"2117598403"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2002.1035633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000128763","display_name":"Ingo la Tendresse","orcid":null},"institutions":[{"id":"https://openalex.org/I43980791","display_name":"Clausthal University of Technology","ror":"https://ror.org/04qb8nc58","country_code":"DE","type":"education","lineage":["https://openalex.org/I43980791"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"I. la Tendresse","raw_affiliation_strings":["Department of Computer Science, Technical University of Clausthal-Zellerfeld, Clausthal-Zellerfeld, Germany","Dept. of Comput. Sci., Tech. Univ. Clausthal, Clausthal-Zellerfeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Clausthal-Zellerfeld, Clausthal-Zellerfeld, Germany","institution_ids":["https://openalex.org/I43980791"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Tech. Univ. Clausthal, Clausthal-Zellerfeld, Germany","institution_ids":["https://openalex.org/I43980791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042349846","display_name":"Odej Kao","orcid":"https://orcid.org/0000-0001-6454-6799"},"institutions":[{"id":"https://openalex.org/I43980791","display_name":"Clausthal University of Technology","ror":"https://ror.org/04qb8nc58","country_code":"DE","type":"education","lineage":["https://openalex.org/I43980791"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"O. Kao","raw_affiliation_strings":["Department of Computer Science, Technical University of Clausthal-Zellerfeld, Clausthal-Zellerfeld, Germany","Dept. of Comput. Sci., Tech. Univ. Clausthal, Clausthal-Zellerfeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Clausthal-Zellerfeld, Clausthal-Zellerfeld, Germany","institution_ids":["https://openalex.org/I43980791"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Tech. Univ. Clausthal, Clausthal-Zellerfeld, Germany","institution_ids":["https://openalex.org/I43980791"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032739376","display_name":"M. Skubowius","orcid":null},"institutions":[{"id":"https://openalex.org/I43980791","display_name":"Clausthal University of Technology","ror":"https://ror.org/04qb8nc58","country_code":"DE","type":"education","lineage":["https://openalex.org/I43980791"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Skubowius","raw_affiliation_strings":["Department of Computer Science, Technical University of Clausthal-Zellerfeld, Clausthal-Zellerfeld, Germany","Dept. of Comput. Sci., Tech. Univ. Clausthal, Clausthal-Zellerfeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Clausthal-Zellerfeld, Clausthal-Zellerfeld, Germany","institution_ids":["https://openalex.org/I43980791"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Tech. Univ. Clausthal, Clausthal-Zellerfeld, Germany","institution_ids":["https://openalex.org/I43980791"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43980791"],"apc_list":null,"apc_paid":null,"fwci":0.235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48025663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"437","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thumbnail","display_name":"Thumbnail","score":0.9791706800460815},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.9726538062095642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8323389291763306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6491571664810181},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6362288594245911},{"id":"https://openalex.org/keywords/mosaic","display_name":"Mosaic","score":0.6334787011146545},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.6007863879203796},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49470970034599304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46087366342544556},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4202291965484619},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36013561487197876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08362400531768799}],"concepts":[{"id":"https://openalex.org/C160174412","wikidata":"https://www.wikidata.org/wiki/Q873806","display_name":"Thumbnail","level":3,"score":0.9791706800460815},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9726538062095642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8323389291763306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6491571664810181},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6362288594245911},{"id":"https://openalex.org/C110739175","wikidata":"https://www.wikidata.org/wiki/Q133067","display_name":"Mosaic","level":2,"score":0.6334787011146545},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.6007863879203796},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49470970034599304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46087366342544556},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4202291965484619},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36013561487197876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08362400531768799},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2002.1035633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W256534578","https://openalex.org/W1529926780","https://openalex.org/W2005630536","https://openalex.org/W2068272887","https://openalex.org/W2069350352","https://openalex.org/W2091503252","https://openalex.org/W2328006707"],"related_works":["https://openalex.org/W2034539438","https://openalex.org/W1606474234","https://openalex.org/W2184057774","https://openalex.org/W2124645781","https://openalex.org/W2162645796","https://openalex.org/W2543381692","https://openalex.org/W1975659822","https://openalex.org/W3087943932","https://openalex.org/W2349022781","https://openalex.org/W4381744813"],"abstract_inverted_index":{"The":[0],"results":[1,127],"of":[2,16,24,52,101,110,121,138],"queries":[3,35],"in":[4,38,71],"image":[5,72,82],"databases":[6],"are":[7,78],"usually":[8],"presented":[9],"as":[10],"a":[11,62,90,105,135],"thumbnail":[12],"list.":[13],"Subsequently,":[14],"each":[15],"these":[17,58],"images":[18,44,117],"can":[19],"be":[20,130],"used":[21,79],"for":[22,34,66,80,93],"refinement":[23],"the":[25,42,45,53,81,98,102,114,122,139],"initial":[26],"query.":[27],"This":[28,60],"approach":[29],"is":[30,61],"however":[31],"not":[32],"suitable":[33],"by":[36],"sketch:":[37],"order":[39],"to":[40,48,56,125],"receive":[41],"desired":[43],"user":[46],"has":[47],"recognise":[49],"misleading":[50],"areas":[51,120],"sketch":[54,94,123],"and":[55,74,84,113,128],"modify":[57],"appropriately.":[59],"non-trivial":[63],"problem,":[64],"especially":[65],"users":[67],"with":[68],"limited":[69],"expertise":[70],"retrieval":[73],"when":[75],"complex":[76],"features":[77],"description":[83],"comparison.":[85],"Therefore,":[86],"this":[87],"paper":[88],"presents":[89],"mosaic-based":[91],"technique":[92],"feedback,":[95],"which":[96,119],"combines":[97],"best":[99],"sections":[100,112],"database":[103],"into":[104],"single":[106],"image.":[107],"An":[108],"analysis":[109],"individual":[111],"linked":[115],"target":[116],"shows,":[118],"lead":[124],"poor":[126],"should":[129],"modified.":[131],"Performance":[132],"measurements":[133],"show":[134],"significant":[136],"increase":[137],"recall":[140],"rate.":[141]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
