{"id":"https://openalex.org/W2804095050","doi":"https://doi.org/10.1145/3193025.3193035","title":"An Image Annotation Rectifying Method Based on Deep Features","display_name":"An Image Annotation Rectifying Method Based on Deep Features","publication_year":2018,"publication_date":"2018-02-25","ids":{"openalex":"https://openalex.org/W2804095050","doi":"https://doi.org/10.1145/3193025.3193035","mag":"2804095050"},"language":"en","primary_location":{"id":"doi:10.1145/3193025.3193035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","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/A5044533563","display_name":"Artin Ghostan Khatchatoorian","orcid":"https://orcid.org/0000-0001-6731-4088"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Artin Ghostan Khatchatoorian","raw_affiliation_strings":["Department of Computer Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046563712","display_name":"Mansour Jamzad","orcid":"https://orcid.org/0000-0001-9999-9157"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mansour Jamzad","raw_affiliation_strings":["Department of Computer Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044533563"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.60664061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"92"},"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":0.9983000159263611,"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":0.9819999933242798,"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/annotation","display_name":"Annotation","score":0.9180757999420166},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.8150244951248169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979646921157837},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.660399317741394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6087180972099304},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5933053493499756},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49161702394485474},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48812589049339294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45359086990356445},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.446757048368454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32073715329170227}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.9180757999420166},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.8150244951248169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979646921157837},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.660399317741394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087180972099304},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5933053493499756},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49161702394485474},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48812589049339294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45359086990356445},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.446757048368454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32073715329170227},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3193025.3193035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","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":28,"referenced_works":["https://openalex.org/W170967611","https://openalex.org/W189596042","https://openalex.org/W1147552057","https://openalex.org/W1481866092","https://openalex.org/W1532325895","https://openalex.org/W1566497823","https://openalex.org/W1608746036","https://openalex.org/W1666447063","https://openalex.org/W1820207098","https://openalex.org/W1983988843","https://openalex.org/W2031476339","https://openalex.org/W2036681051","https://openalex.org/W2046315448","https://openalex.org/W2047779269","https://openalex.org/W2086377907","https://openalex.org/W2094444465","https://openalex.org/W2097709839","https://openalex.org/W2111993661","https://openalex.org/W2122829955","https://openalex.org/W2130660124","https://openalex.org/W2146024151","https://openalex.org/W2163605009","https://openalex.org/W2495184099","https://openalex.org/W2536305071","https://openalex.org/W2592128153","https://openalex.org/W2779616827","https://openalex.org/W6606917465","https://openalex.org/W6607775107"],"related_works":["https://openalex.org/W4210419990","https://openalex.org/W2546942002","https://openalex.org/W1516905859","https://openalex.org/W2130376186","https://openalex.org/W2772780115","https://openalex.org/W2165935981","https://openalex.org/W1977222486","https://openalex.org/W2049538278","https://openalex.org/W1992429311","https://openalex.org/W2115092356"],"abstract_inverted_index":{"Automatic":[0],"image":[1,12],"annotation":[2,56,95,105,113],"methods":[3,114],"generate":[4],"a":[5,17,22,28,60,65],"list":[6],"of":[7,33,48,90],"tags":[8,49,81],"for":[9,45,82],"each":[10,46],"test":[11],"and":[13,50,94],"present":[14],"it":[15,52],"in":[16,111],"matrix":[18],"structure.":[19],"To":[20,58],"achieve":[21],"more":[23],"accurate":[24],"annotation,":[25],"we":[26,41,63,77],"propose":[27],"method":[29,87],"with":[30],"the":[31,35,55,71,79,102],"aim":[32],"correcting":[34],"tag":[36],"list.":[37],"In":[38],"our":[39],"method,":[40],"detect":[42],"an":[43,83],"indicator":[44],"group":[47],"use":[51],"to":[53,101],"rectify":[54],"results.":[57],"find":[59],"correct":[61],"indicator,":[62,76],"apply":[64],"deep":[66],"feature":[67,91],"vector":[68],"generated":[69],"by":[70],"\"AlexNet\"":[72],"model.":[73],"Using":[74],"this":[75],"determine":[78],"suitable":[80],"image.":[84],"The":[85],"purposed":[86],"is":[88],"independent":[89],"vector,":[92],"dataset,":[93],"method.":[96],"It":[97],"can":[98],"be":[99],"applied":[100],"currently":[103],"available":[104],"methods.":[106],"Our":[107],"experiments":[108],"showed":[109],"improvement":[110],"all":[112],"tested.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
