{"id":"https://openalex.org/W2131051688","doi":"https://doi.org/10.1109/tmm.2010.2046364","title":"In-Image Accessibility Indication","display_name":"In-Image Accessibility Indication","publication_year":2010,"publication_date":"2010-03-24","ids":{"openalex":"https://openalex.org/W2131051688","doi":"https://doi.org/10.1109/tmm.2010.2046364","mag":"2131051688"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2010.2046364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2010.2046364","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113677133","display_name":"Yelong Sheng","orcid":null},"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":"Yelong Sheng","raw_affiliation_strings":["Beihang University, Beijing, China","BeiHang University, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BeiHang University, BeiJing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101612503","display_name":"Bo Liu","orcid":"https://orcid.org/0009-0005-9072-3046"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["University of Science and Technology, Hefei, China",", University of Science and Technology of China, Hefei, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":", University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.9548,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87428692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"12","issue":"4","first_page":"330","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983999729156494,"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":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9973999857902527,"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":0.8482736349105835},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6347230672836304},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5986907482147217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588425874710083},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.548558235168457},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5453448295593262},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5263965129852295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5221945643424988},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5191466212272644},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36967724561691284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08577412366867065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8482736349105835},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6347230672836304},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5986907482147217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588425874710083},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.548558235168457},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5453448295593262},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5263965129852295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5221945643424988},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5191466212272644},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36967724561691284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08577412366867065},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/tmm.2010.2046364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2010.2046364","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4699999988079071},{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1484671595","https://openalex.org/W2033101041","https://openalex.org/W2043870933","https://openalex.org/W2044151051","https://openalex.org/W2048580510","https://openalex.org/W2049577508","https://openalex.org/W2058565971","https://openalex.org/W2091911388","https://openalex.org/W2106474058","https://openalex.org/W2108071170","https://openalex.org/W2116380212","https://openalex.org/W2138994616","https://openalex.org/W2143091899","https://openalex.org/W2153233077","https://openalex.org/W2161509693","https://openalex.org/W2169787065","https://openalex.org/W2203749049","https://openalex.org/W2270623956","https://openalex.org/W2296690143","https://openalex.org/W2401267201"],"related_works":["https://openalex.org/W1975289146","https://openalex.org/W2105887828","https://openalex.org/W2122599759","https://openalex.org/W2628861693","https://openalex.org/W4236520801","https://openalex.org/W3203087560","https://openalex.org/W1537234410","https://openalex.org/W4361279463","https://openalex.org/W105296515","https://openalex.org/W1995022398"],"abstract_inverted_index":{"There":[0],"are":[1,88,105,172],"about":[2],"8%":[3],"of":[4,8,17,41,82,99,125,145,185],"men":[5],"and":[6,33,39,128,178],"0.8%":[7],"women":[9],"suffering":[10],"from":[11],"colorblindness.":[12,170],"Due":[13],"to":[14,54,96,121,134,161],"the":[15,42,61,86,97,123,138,143,156,183],"loss":[16,98],"certain":[18],"color":[19,100],"information,":[20],"regions":[21,58,104,163],"or":[22,148],"objects":[23,147],"in":[24,59,70,167],"several":[25,146],"images":[26,168,177],"cannot":[27],"be":[28,65,119,132],"recognized":[29,66],"by":[30,67],"these":[31,110],"viewers":[32,69,94],"this":[34,154],"may":[35],"degrade":[36],"their":[37],"perception":[38],"understanding":[40],"images.":[43],"This":[44,116],"paper":[45],"introduces":[46],"an":[47],"in-image":[48],"accessibility":[49,124,165],"indication":[50],"scheme,":[51],"which":[52,60,85],"aims":[53],"automatically":[55],"point":[56],"out":[57],"content":[62],"can":[63,118,131],"hardly":[64],"colorblind":[68,93],"a":[71,80,113],"manually":[72],"designed":[73,126],"image.":[74],"The":[75,102],"proposed":[76],"method":[77],"first":[78,157],"establishes":[79],"set":[81],"points":[83,111],"around":[84],"patches":[87],"not":[89],"prominent":[90],"enough":[91],"for":[92,169],"due":[95],"information.":[101],"inaccessible":[103],"then":[106],"detected":[107],"based":[108],"on":[109,174],"via":[112],"regularization":[114],"framework.":[115],"scheme":[117],"applied":[120],"check":[122],"images,":[127,139],"consequently":[129],"it":[130],"used":[133],"help":[135],"designers":[136],"improve":[137],"such":[140],"as":[141],"modifying":[142],"colors":[144],"components.":[149],"To":[150],"our":[151,186],"best":[152],"knowledge,":[153],"is":[155],"work":[158],"that":[159],"attempts":[160],"detect":[162],"with":[164],"problems":[166],"Experiments":[171],"conducted":[173],"1994":[175],"poster":[176],"empirical":[179],"results":[180],"have":[181],"demonstrated":[182],"effectiveness":[184],"approach.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}