{"id":"https://openalex.org/W2142865941","doi":"https://doi.org/10.1109/ccnc.2011.5766482","title":"Robust and discriminative image authentication based on sparse coding","display_name":"Robust and discriminative image authentication based on sparse coding","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2142865941","doi":"https://doi.org/10.1109/ccnc.2011.5766482","mag":"2142865941"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc.2011.5766482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2011.5766482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Consumer Communications and Networking Conference (CCNC)","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/A5013704823","display_name":"Luntian Mou","orcid":"https://orcid.org/0000-0002-1551-4448"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luntian Mou","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066958531","display_name":"Shiguo Lian","orcid":"https://orcid.org/0000-0003-4308-7049"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Shiguo Lian","raw_affiliation_strings":["France Telecom Research and Development Center (Beijing), Beijing, China"],"affiliations":[{"raw_affiliation_string":"France Telecom Research and Development Center (Beijing), Beijing, China","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083420537","display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013704823"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.5232,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71213558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"323","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9988999962806702,"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":0.9988999962806702,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.993399977684021,"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":0.9868000149726868,"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/discriminative-model","display_name":"Discriminative model","score":0.8624640703201294},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.805996298789978},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7721449136734009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953743696212769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6706986427307129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6269638538360596},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5894392132759094},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5338873267173767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4495488703250885},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4162297248840332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18903419375419617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06454887986183167}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8624640703201294},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.805996298789978},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7721449136734009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953743696212769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706986427307129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6269638538360596},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5894392132759094},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5338873267173767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4495488703250885},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4162297248840332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18903419375419617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06454887986183167},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ccnc.2011.5766482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2011.5766482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Consumer Communications and Networking Conference (CCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.935.1041","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.935.1041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Luntian_Mou/publication/230746192_Robust_and_Discriminative_Image_Authentication_Based_on_Sparse_Coding/links/0912f503d7f344d6a4000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.935.4033","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.935.4033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Luntian_Mou/publication/230746192_Robust_and_Discriminative_Image_Authentication_Based_on_Sparse_Coding/links/0912f503d7f344d6a4000000.pdf?origin%3Dpublication_detail","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.954.4064","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.954.4064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jdl.ac.cn/doc/2011/2012121041812317_robust_and_discriminative_image_authentication_based_on_sparse_coding.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W43631706","https://openalex.org/W157212773","https://openalex.org/W2010398978","https://openalex.org/W2100502520","https://openalex.org/W2101933716","https://openalex.org/W2109190643","https://openalex.org/W2114550641","https://openalex.org/W2115247187","https://openalex.org/W2126554342","https://openalex.org/W2145889472","https://openalex.org/W2146513066","https://openalex.org/W2147515928","https://openalex.org/W2168870637","https://openalex.org/W2390929835","https://openalex.org/W2912889105","https://openalex.org/W4240035482","https://openalex.org/W6601755003"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2144332008","https://openalex.org/W2349204598","https://openalex.org/W2065031478"],"abstract_inverted_index":{"Image":[0],"authentication":[1],"is":[2],"usually":[3],"approached":[4],"by":[5,54],"checking":[6],"the":[7,55,66,82,94],"preservation":[8],"of":[9,35,46,51,68,96],"some":[10],"invariant":[11,102],"features,":[12],"which":[13,92],"are":[14,26,31],"expected":[15],"to":[16,44],"be":[17],"both":[18],"robust":[19],"and":[20,48],"discriminative":[21],"so":[22],"that":[23,81],"content-preserving":[24],"operations":[25],"accepted":[27],"while":[28],"content-altering":[29],"manipulations":[30],"rejected.":[32],"However,":[33],"most":[34],"existing":[36],"features":[37],"have":[38],"not":[39],"obtained":[40],"convincing":[41],"performance":[42],"due":[43],"insufficiency":[45],"experiments":[47],"over":[49],"biasing":[50],"robustness.":[52],"Motivated":[53],"sparse":[56,70,97],"coding":[57,71,98],"strategy":[58],"discovered":[59],"in":[60],"primary":[61],"visual":[62],"cortex,":[63],"we":[64,79],"explore":[65],"possibility":[67],"using":[69],"coefficients":[72],"for":[73,104],"image":[74,105],"authentication.":[75,106],"Through":[76],"extensive":[77],"experiments,":[78],"discover":[80],"proposed":[83],"feature":[84,103],"bears":[85],"great":[86],"discrimination":[87],"as":[88,90,99],"well":[89],"robustness,":[91],"indicates":[93],"effectiveness":[95],"a":[100],"new":[101]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}