{"id":"https://openalex.org/W2045153529","doi":"https://doi.org/10.1109/vcip.2013.6706433","title":"What color is an object?","display_name":"What color is an object?","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2045153529","doi":"https://doi.org/10.1109/vcip.2013.6706433","mag":"2045153529"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2013.6706433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","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/A5100330729","display_name":"Xiaofan Zhang","orcid":"https://orcid.org/0000-0001-5081-3972"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofan Zhang","raw_affiliation_strings":["Intelligent Computing and Machine Learning Lab, Beihang University, Beijing, China","Sch. of ASEE, Beihang Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Computing and Machine Learning Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Sch. of ASEE, Beihang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032405950","display_name":"Zengchang Qin","orcid":"https://orcid.org/0000-0002-8084-6721"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengchang Qin","raw_affiliation_strings":["Intelligent Computing and Machine Learning Lab, Beihang University, Beijing, China","Sch. of ASEE, Beihang Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Computing and Machine Learning Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Sch. of ASEE, Beihang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331710","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0002-8780-5455"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liu","raw_affiliation_strings":["Intelligent Computing and Machine Learning Lab, Beihang University, Beijing, China","Sch. of ASEE, Beihang Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Computing and Machine Learning Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Sch. of ASEE, Beihang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041005536","display_name":"Tao Wan","orcid":"https://orcid.org/0000-0002-2962-4066"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Wan","raw_affiliation_strings":["Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA","Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100330729"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11411655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9908999800682068,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9908999800682068,"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":0.9855999946594238,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8059633374214172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7909715175628662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6865875720977783},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6700257658958435},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5232664346694946},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5211065411567688},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49636155366897583},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46805140376091003},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4670357406139374},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4592539966106415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4561551809310913},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4400922954082489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8059633374214172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7909715175628662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6865875720977783},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6700257658958435},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5232664346694946},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5211065411567688},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49636155366897583},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46805140376091003},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4670357406139374},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4592539966106415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4561551809310913},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4400922954082489},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2013.6706433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1556531089","https://openalex.org/W1566135517","https://openalex.org/W2037328649","https://openalex.org/W2050697589","https://openalex.org/W2052680559","https://openalex.org/W2067191022","https://openalex.org/W2073485910","https://openalex.org/W2104622289","https://openalex.org/W2110764733","https://openalex.org/W2117097736","https://openalex.org/W2118153703","https://openalex.org/W2122069218","https://openalex.org/W2123785012","https://openalex.org/W2128715914","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W2166049352","https://openalex.org/W2914885528"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W2965594636","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Color":[0,12],"perception":[1],"is":[2,14,60,75,92],"one":[3,16],"of":[4,9,17,50,72,89,97],"the":[5,18,73,94,108],"major":[6],"cognitive":[7],"abilities":[8],"human":[10],"being.":[11],"information":[13,96],"also":[15],"most":[19],"important":[20],"features":[21],"in":[22,113],"various":[23],"computer":[24,110],"vision":[25,111],"tasks":[26],"including":[27],"object":[28,99,116],"recognition,":[29],"tracking,":[30],"scene":[31],"classification":[32],"and":[33,43,67,118],"so":[34],"on.":[35],"In":[36],"this":[37,90],"paper,":[38],"we":[39],"proposed":[40,58],"a":[41,63],"simple":[42],"effective":[44],"method":[45],"for":[46],"learning":[47],"color":[48,95],"composition":[49],"objects":[51],"from":[52],"large":[53],"annotated":[54],"datasets.":[55],"The":[56,70,87],"new":[57],"model":[59,66,74],"based":[61],"on":[62,78],"region-based":[64],"bag-of-colors":[65],"saliency":[68],"detection.":[69],"effectiveness":[71],"empirically":[76],"verified":[77],"manually":[79],"labelled":[80],"datasets":[81],"with":[82],"single":[83],"or":[84],"multiple":[85],"tags.":[86],"significance":[88],"research":[91],"that":[93],"an":[98],"can":[100],"provide":[101],"useful":[102],"prior":[103],"knowledge":[104],"to":[105],"help":[106],"improving":[107],"existing":[109],"models":[112],"image":[114],"segmentation,":[115],"recognition":[117],"tracking.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}