{"id":"https://openalex.org/W2117217456","doi":"https://doi.org/10.1109/icip.2005.1530424","title":"Detecting prominent objects for image retrieval","display_name":"Detecting prominent objects for image retrieval","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2117217456","doi":"https://doi.org/10.1109/icip.2005.1530424","mag":"2117217456"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5037140642","display_name":"Andrea Kutics","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Kutics","raw_affiliation_strings":["School of Media Science, Tokyo University of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Media Science, Tokyo University of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109045955","display_name":"Akihiko Nakagawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Nakagawa","raw_affiliation_strings":["New Business Promotion Office, Japan Systems Company Limited, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Business Promotion Office, Japan Systems Company Limited, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"III","last_page":"445"},"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":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7762438058853149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6849186420440674},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6695075035095215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6533068418502808},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6252973079681396},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5623487830162048},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5557050704956055},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.49797821044921875},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49546849727630615},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.45310020446777344},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44455888867378235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4085484445095062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14713618159294128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762438058853149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6849186420440674},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6695075035095215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6533068418502808},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6252973079681396},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5623487830162048},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5557050704956055},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.49797821044921875},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49546849727630615},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.45310020446777344},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44455888867378235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4085484445095062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14713618159294128},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1530424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1981848266","https://openalex.org/W2020045104","https://openalex.org/W2104019579","https://openalex.org/W2129872026","https://openalex.org/W2131888299","https://openalex.org/W2135705692","https://openalex.org/W2141841511","https://openalex.org/W2145011027","https://openalex.org/W2150134853"],"related_works":["https://openalex.org/W2416959398","https://openalex.org/W2089679607","https://openalex.org/W2761229199","https://openalex.org/W2960611766","https://openalex.org/W1595732891","https://openalex.org/W2132136587","https://openalex.org/W2131457589","https://openalex.org/W2523262352","https://openalex.org/W3201443322","https://openalex.org/W2087927333"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,62,85],"novel":[4],"method":[5,98],"for":[6,33,101,121],"detecting":[7],"objects":[8],"in":[9,12,24,40],"natural":[10,103],"images":[11,104],"non-restricted":[14],"domain.":[15],"Our":[16],"purpose":[17],"here":[18],"is":[19,44,99,113],"to":[20,115],"capture":[21],"meaningful":[22],"information":[23],"terms":[25],"of":[26,47,87],"user":[27],"semantics":[28],"on":[29],"the":[30,45,50,76,81,88],"visual":[31],"level":[32],"efficient":[34],"image":[35,51,125,133],"retrieval.":[36],"The":[37,97],"major":[38],"obstacle":[39],"developing":[41],"such":[42],"methods":[43],"difficulty":[46],"accurately":[48],"segmenting":[49],"into":[52],"its":[53],"prominent":[54],"regions.":[55],"To":[56],"overcome":[57],"this":[58,72],"difficulty,":[59],"we":[60,74],"developed":[61],"vector-valued":[63],"inhomogeneous":[64],"diffusion":[65],"model":[66],"that":[67],"uses":[68],"multiple":[69],"features.":[70],"In":[71],"model,":[73],"define":[75],"gradient":[77,92],"threshold":[78],"and":[79,109,111,119,127,131],"thus":[80,128],"conductance":[82],"parameter":[83],"as":[84],"function":[86],"texture":[89],"and/or":[90],"color":[91],"varying":[93],"by":[94,106],"evolving":[95],"diffusion.":[96],"evaluated":[100],"20,000":[102],"taken":[105],"both":[107],"professionals":[108],"amateurs":[110],"it":[112],"proved":[114],"be":[116],"very":[117],"robust":[118],"effective":[120],"obtaining":[122],"sufficient":[123],"region-based":[124],"description":[126],"facilitating":[129],"intelligent":[130],"user-friendly":[132],"retrieval":[134],"applications.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
