{"id":"https://openalex.org/W4401212634","doi":"https://doi.org/10.1145/3653876.3653904","title":"Image data infringement detection method based on ResNet network and weighted distance.","display_name":"Image data infringement detection method based on ResNet network and weighted distance.","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4401212634","doi":"https://doi.org/10.1145/3653876.3653904"},"language":"en","primary_location":{"id":"doi:10.1145/3653876.3653904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653876.3653904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th 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/A5111271907","display_name":"Liu Zhang","orcid":"https://orcid.org/0009-0008-9111-8157"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu Zhang","raw_affiliation_strings":["IEU, China"],"raw_orcid":"https://orcid.org/0009-0008-9111-8157","affiliations":[{"raw_affiliation_string":"IEU, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697408","display_name":"Xuehui Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuehui Du","raw_affiliation_strings":["IEU, China"],"raw_orcid":"https://orcid.org/0000-0003-4763-4302","affiliations":[{"raw_affiliation_string":"IEU, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043268521","display_name":"Aodi Liu","orcid":"https://orcid.org/0000-0002-9644-3812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aodi Liu","raw_affiliation_strings":["IEU, China"],"raw_orcid":"https://orcid.org/0000-0002-9644-3812","affiliations":[{"raw_affiliation_string":"IEU, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111271907"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10955811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.996999979019165,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.996999979019165,"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":0.9966999888420105,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.989300012588501,"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":0.7064766883850098},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.6379482746124268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5782844424247742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48206454515457153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4378976821899414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39237892627716064},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24773001670837402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064766883850098},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.6379482746124268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5782844424247742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48206454515457153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4378976821899414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39237892627716064},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24773001670837402}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653876.3653904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653876.3653904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2151103935","https://openalex.org/W2187250581"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,10,35,42,45,50,58,62,70,76,92,96],"problem":[3],"that":[4,91],"it":[5],"is":[6,54,67,72],"difficult":[7],"to":[8,40,49,56,75],"detect":[9],"infringement":[11,24,71],"of":[12,52],"digital":[13],"image":[14,22,53,66],"by":[15],"unauthorized":[16],"users,":[17],"this":[18],"paper":[19],"proposes":[20],"an":[21],"data":[23],"detection":[25],"method":[26,94],"based":[27],"on":[28,81],"ResNet":[29,36],"network":[30,37],"and":[31,61,87],"weighted":[32,59],"distance.":[33],"Firstly,":[34],"was":[38],"used":[39],"vectorize":[41],"image.":[43,78],"Then,":[44],"distance":[46],"weight":[47],"corresponding":[48],"type":[51],"called":[55],"calculate":[57],"distance,":[60],"most":[63],"similar":[64],"target":[65,77],"retrieved.":[68],"Finally,":[69],"determined":[73],"according":[74],"Experimental":[79],"results":[80],"UC":[82],"Merced":[83],"Land":[84],"Use":[85],"Dataset":[86],"SIRI-WHU_earth":[88],"dataset":[89],"show":[90],"proposed":[93],"has":[95],"highest":[97],"accuracy.":[98]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
