{"id":"https://openalex.org/W1965777381","doi":"https://doi.org/10.1145/1631058.1631072","title":"Image copy detection using a robust gabor texture descriptor","display_name":"Image copy detection using a robust gabor texture descriptor","publication_year":2009,"publication_date":"2009-10-23","ids":{"openalex":"https://openalex.org/W1965777381","doi":"https://doi.org/10.1145/1631058.1631072","mag":"1965777381"},"language":"en","primary_location":{"id":"doi:10.1145/1631058.1631072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631058.1631072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining","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/A5100382345","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0003-2427-4455"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Li","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071277762","display_name":"Guizhong Liu","orcid":"https://orcid.org/0000-0001-9149-4576"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhong Liu","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032558271","display_name":"Haixia Jiang","orcid":"https://orcid.org/0000-0002-9110-9655"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Jiang","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112117478","display_name":"Xuemin Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemin Qian","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100382345"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.810552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9958000183105469,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9929999709129333,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7329742908477783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6421574950218201},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.6320452690124512},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.611504077911377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5985285043716431},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.5379235744476318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5176573395729065},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5092681646347046},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5052123665809631},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.4888548254966736},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.45345398783683777},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4481472373008728},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4427212178707123},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.44091612100601196},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.43753668665885925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.426916241645813},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4232722520828247},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32760193943977356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3161966800689697},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.23561763763427734},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2343015968799591},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.13425284624099731},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10425809025764465}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7329742908477783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6421574950218201},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6320452690124512},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.611504077911377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5985285043716431},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.5379235744476318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5176573395729065},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5092681646347046},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5052123665809631},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.4888548254966736},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.45345398783683777},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4481472373008728},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4427212178707123},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.44091612100601196},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.43753668665885925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.426916241645813},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4232722520828247},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32760193943977356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3161966800689697},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.23561763763427734},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2343015968799591},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.13425284624099731},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10425809025764465},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1631058.1631072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631058.1631072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1492756493","https://openalex.org/W1788576983","https://openalex.org/W1966587288","https://openalex.org/W1991700144","https://openalex.org/W2014117368","https://openalex.org/W2016622637","https://openalex.org/W2017206151","https://openalex.org/W2018369373","https://openalex.org/W2038128495","https://openalex.org/W2040412528","https://openalex.org/W2053058343","https://openalex.org/W2055289292","https://openalex.org/W2063490865","https://openalex.org/W2072793036","https://openalex.org/W2096693112","https://openalex.org/W2096933452","https://openalex.org/W2103384342","https://openalex.org/W2105578256","https://openalex.org/W2118390174","https://openalex.org/W2118462228","https://openalex.org/W2124330204","https://openalex.org/W2141044908","https://openalex.org/W2157328853","https://openalex.org/W2162602278","https://openalex.org/W3016960874","https://openalex.org/W3160851792","https://openalex.org/W4241425307","https://openalex.org/W4247092244"],"related_works":["https://openalex.org/W1560071024","https://openalex.org/W2070838085","https://openalex.org/W2495360253","https://openalex.org/W2382852560","https://openalex.org/W3156532881","https://openalex.org/W2355879620","https://openalex.org/W1830749786","https://openalex.org/W2066448268","https://openalex.org/W2373012758","https://openalex.org/W2350182551"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,29,69,79],"novel":[6],"scale":[7,80,95],"and":[8,26,56,132],"rotation":[9,101],"invariant":[10,81,96],"Gabor":[11,21,61,82],"texture":[12,83],"descriptor":[13],"for":[14],"content-based":[15],"image":[16,49,117],"copy":[17],"detection.":[18],"Firstly,":[19],"the":[20,35,51,60,64,87,94,100,107],"filters":[22,62],"with":[23,50,63],"different":[24],"orientations":[25],"scales":[27],"using":[28],"fixed-size":[30,66],"window":[31],"are":[32],"constructed.":[33],"Secondly,":[34],"Discrete":[36],"Fourier":[37],"Transform":[38],"is":[39,54,57,76,91,110],"implemented":[40],"on":[41,93],"each":[42],"image.":[43],"The":[44],"low-frequency":[45],"region":[46],"of":[47,72,116],"an":[48],"fixed":[52],"size":[53],"extracted,":[55],"filtered":[58],"by":[59],"same":[65],"window.":[67],"Thirdly,":[68],"statistical":[70],"feature":[71,97,109],"these":[73],"Gabor-filtered":[74],"images":[75],"extracted":[77],"as":[78,120],"descriptor.":[84],"At":[85],"last,":[86],"circular":[88],"shift":[89],"method":[90],"employed":[92],"to":[98,112],"achieve":[99],"invariance.":[102],"Experimental":[103],"results":[104],"demonstrate":[105],"that":[106],"proposed":[108],"effective":[111],"resist":[113],"various":[114,133],"types":[115],"transformations,":[118],"such":[119],"scaling,":[121],"rotation,":[122],"flip,":[123],"cut,":[124],"crop,":[125],"intensity,":[126],"contrast,":[127],"texts-inserting,":[128],"blurring,":[129],"noise,":[130],"shift,":[131],"combined-attacks.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}