{"id":"https://openalex.org/W4226071692","doi":"https://doi.org/10.1145/3507548.3507564","title":"Texture Dataset Construction and Texture Image Retrieval based on Deep Learning","display_name":"Texture Dataset Construction and Texture Image Retrieval based on Deep Learning","publication_year":2021,"publication_date":"2021-12-04","ids":{"openalex":"https://openalex.org/W4226071692","doi":"https://doi.org/10.1145/3507548.3507564"},"language":"en","primary_location":{"id":"doi:10.1145/3507548.3507564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","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/A5100643314","display_name":"Zhisheng Zhang","orcid":"https://orcid.org/0009-0005-3301-776X"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhisheng Zhang","raw_affiliation_strings":["School of Information&Electric Engineering, Shandong Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Information&Electric Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057752993","display_name":"Huaijing Qu","orcid":"https://orcid.org/0000-0001-6178-1056"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaijing Qu","raw_affiliation_strings":["School of Information&Electric Engineering, Shandong Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Information&Electric Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759658","display_name":"Hengbin Wang","orcid":"https://orcid.org/0000-0002-7452-9463"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengbin Wang","raw_affiliation_strings":["School of Information&Electric Engineering, Shandong Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Information&Electric Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042055991","display_name":"Jia Xu","orcid":"https://orcid.org/0000-0003-4061-8262"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Xu","raw_affiliation_strings":["School of Information&Electric Engineering, Shandong Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Information&Electric Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751206","display_name":"Jiwei Wang","orcid":"https://orcid.org/0000-0002-1894-0573"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Wang","raw_affiliation_strings":["School of Information&Electric Engineering, Shandong Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Information&Electric Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081582550","display_name":"Yanan Wei","orcid":"https://orcid.org/0000-0001-6858-9745"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Wei","raw_affiliation_strings":["School of Information&Electric Engineering, Shandong Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Information&Electric Engineering, Shandong Jianzhu University, China","institution_ids":["https://openalex.org/I44445938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100643314"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19117647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.998199999332428,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9427000284194946,"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/image-texture","display_name":"Image texture","score":0.8053213357925415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7760895490646362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7404757738113403},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.696200966835022},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.677603006362915},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.6713095903396606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5926783084869385},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.5848643183708191},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5633087754249573},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5376070737838745},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4801761209964752},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42430251836776733},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42087942361831665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3804869055747986},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2507947087287903}],"concepts":[{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.8053213357925415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7760895490646362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404757738113403},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.696200966835022},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.677603006362915},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.6713095903396606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5926783084869385},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5848643183708191},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5633087754249573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5376070737838745},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4801761209964752},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42430251836776733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42087942361831665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3804869055747986},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2507947087287903}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3507548.3507564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","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":25,"referenced_works":["https://openalex.org/W1524680991","https://openalex.org/W1686810756","https://openalex.org/W1833123814","https://openalex.org/W1909952827","https://openalex.org/W1960777822","https://openalex.org/W1965202763","https://openalex.org/W2062118960","https://openalex.org/W2125148312","https://openalex.org/W2152773182","https://openalex.org/W2163534628","https://openalex.org/W2546677373","https://openalex.org/W2618530766","https://openalex.org/W2762769350","https://openalex.org/W2898844196","https://openalex.org/W2932436042","https://openalex.org/W2963129433","https://openalex.org/W2963460841","https://openalex.org/W3023742835","https://openalex.org/W3044187440","https://openalex.org/W3086198284","https://openalex.org/W3111502951","https://openalex.org/W3119589206","https://openalex.org/W3159863924","https://openalex.org/W6662259680","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W2131290532"],"abstract_inverted_index":{"In":[0],"the":[1,8,11,17,27,65,73,84,87,95,104,111,117,121,125,128,132,137,140,145,148,154,179,189],"deep":[2,31,35,78],"texture":[3,22,38,42,54,59,67,89,113,150,162,182],"image":[4,23,43,55,68,114,151,163,183],"retrieval,":[5],"to":[6,143],"address":[7],"problem":[9],"that":[10,175],"retrieval":[12,44,146,155,184,190],"performance":[13],"is":[14,46,61,100,108],"affected":[15],"by":[16],"lack":[18],"of":[19,30,86,94,124,131,139,147,188],"sufficiently":[20],"large":[21],"dataset":[24,39,56,75],"used":[25,71,135],"for":[26,76,116,136],"effective":[28],"training":[29],"neural":[32,79],"network,":[33],"a":[34,52,91],"learning":[36],"based":[37,63],"construction":[40],"and":[41,70,120,169],"method":[45,177],"proposed":[47],"in":[48,186],"this":[49],"paper.":[50],"First,":[51],"large-scale":[53],"containing":[57],"rich":[58],"information":[60,85],"constructed":[62],"on":[64,159],"DTD":[66],"dataset,":[69,90],"as":[72],"source":[74,88],"pre-training":[77],"networks.":[80],"To":[81],"effectively":[82],"characterize":[83],"revised":[92],"version":[93],"VGG16":[96],"model,":[97],"called":[98],"ReV-VGG16,":[99],"adaptively":[101],"designed.":[102],"Then,":[103],"pre-trained":[105],"ReV-VGG16":[106],"model":[107,133],"combined":[109],"with":[110],"target":[112,149],"datasets":[115],"transfer":[118],"learning,":[119],"probability":[122],"values":[123],"output":[126],"from":[127],"classification":[129],"layer":[130],"are":[134,157],"computation":[138],"similarity":[141],"measurement":[142],"achieve":[144],"dataset.":[152],"Finally,":[153],"experiments":[156],"conducted":[158],"four":[160],"typical":[161],"datasets,":[164],"namely,":[165],"VisTex,":[166],"Brodatz,":[167],"STex":[168],"ALOT.":[170],"The":[171],"experimental":[172],"results":[173],"show":[174],"our":[176],"outperforms":[178],"existing":[180],"state-of-the-art":[181],"approaches":[185],"terms":[187],"performance.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}