{"id":"https://openalex.org/W2138906317","doi":"https://doi.org/10.1109/cbmi.2011.5972532","title":"A region-dependent image matching method for image and video annotation","display_name":"A region-dependent image matching method for image and video annotation","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2138906317","doi":"https://doi.org/10.1109/cbmi.2011.5972532","mag":"2138906317"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2011.5972532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2011.5972532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},"type":"article","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/A5048673511","display_name":"Golnaz Abdollahian","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Golnaz Abdollahian","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER ), School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER ), School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA#TAB#","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064656187","display_name":"Murat Birinci","orcid":"https://orcid.org/0000-0002-6268-9910"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Murat Birinci","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland","[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077061691","display_name":"Fernando D\u00edaz-de-Mar\u00eda","orcid":"https://orcid.org/0000-0002-6437-914X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Diaz-de-Maria","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganes, Spain","Department of Signal Theory and Communications, Universidad Carlos III, Leganes (Madrid), Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganes, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III, Leganes (Madrid), Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland","[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089688702","display_name":"Edward J. Delp","orcid":"https://orcid.org/0000-0002-2909-7323"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward J. Delp","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER ), School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER ), School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA#TAB#","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2617,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61277219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"121","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475853562355042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6349702477455139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6098806858062744},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5739752650260925},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5627723932266235},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.527866542339325},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.49808764457702637},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4335870146751404},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33521568775177},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3169018626213074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12004512548446655},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07121193408966064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475853562355042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6349702477455139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6098806858062744},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5739752650260925},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5627723932266235},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.527866542339325},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.49808764457702637},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4335870146751404},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33521568775177},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3169018626213074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12004512548446655},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07121193408966064}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2011.5972532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2011.5972532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5299999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1532257412","https://openalex.org/W1677409904","https://openalex.org/W1997609438","https://openalex.org/W2044465660","https://openalex.org/W2119288237","https://openalex.org/W2124087378","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W2157465536","https://openalex.org/W2159708532","https://openalex.org/W2169548003","https://openalex.org/W3151525102","https://openalex.org/W6637400245"],"related_works":["https://openalex.org/W2376984068","https://openalex.org/W2566406229","https://openalex.org/W2119028572","https://openalex.org/W2152482390","https://openalex.org/W2365617273","https://openalex.org/W2061851981","https://openalex.org/W2506386910","https://openalex.org/W2804095050","https://openalex.org/W2111235226","https://openalex.org/W2117928543"],"abstract_inverted_index":{"In":[0,51],"this":[1,52],"paper":[2],"we":[3],"propose":[4],"an":[5],"image":[6,20,38,47,55],"matching":[7,14,106],"approach":[8],"that":[9,97],"selects":[10],"the":[11,19,23,77,80,108,111,124],"method":[12,27],"of":[13,100,110,115],"for":[15,45,118],"each":[16,54],"region":[17,24],"in":[18,79],"based":[21,88],"on":[22,89],"properties.":[25],"This":[26],"can":[28,121],"be":[29],"used":[30,74],"to":[31,35,75],"find":[32],"images":[33],"similar":[34],"a":[36,40],"query":[37],"from":[39,103],"database,":[41],"which":[42],"is":[43,56],"useful":[44],"automatic":[46],"and":[48,67],"video":[49],"annotation.":[50],"approach,":[53],"first":[57],"divided":[58],"into":[59],"large":[60],"homogeneous":[61],"areas,":[62,82],"identified":[63],"as":[64],"\u201ctexture":[65],"areas\u201d,":[66],"non-texture":[68,81],"areas.":[69],"Local":[70],"descriptors":[71],"are":[72,86],"then":[73],"match":[76],"keypoints":[78],"while":[83,98],"texture":[84,101],"regions":[85,120],"matched":[87],"low":[90],"level":[91],"visual":[92],"features.":[93],"Experimental":[94],"results":[95],"prove":[96],"exclusion":[99],"areas":[102],"local":[104],"descriptor":[105],"increases":[107],"efficiency":[109],"whole":[112],"process,":[113],"utilization":[114],"appropriate":[116],"measures":[117],"different":[119],"also":[122],"increase":[123],"overall":[125],"performance.":[126]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
