{"id":"https://openalex.org/W2001011421","doi":"https://doi.org/10.1145/2482513.2482528","title":"Embedding change rate estimation based on ensemble learning","display_name":"Embedding change rate estimation based on ensemble learning","publication_year":2013,"publication_date":"2013-06-17","ids":{"openalex":"https://openalex.org/W2001011421","doi":"https://doi.org/10.1145/2482513.2482528","mag":"2001011421"},"language":"en","primary_location":{"id":"doi:10.1145/2482513.2482528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2482513.2482528","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 Information hiding and multimedia security","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/A5100330760","display_name":"Zhenyu Li","orcid":"https://orcid.org/0000-0002-4852-5055"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Li","raw_affiliation_strings":["Zhengzhou Institute of Information Science and Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou Institute of Information Science and Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043781332","display_name":"Zongyun Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyun Hu","raw_affiliation_strings":["Zhengzhou Institute of Information Science and Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou Institute of Information Science and Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090509213","display_name":"Xiangyang Luo","orcid":"https://orcid.org/0000-0003-3225-4649"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Luo","raw_affiliation_strings":["Zhengzhou Institute of Information Science and Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou Institute of Information Science and Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100715994","display_name":"Bin Lu","orcid":"https://orcid.org/0000-0002-7449-2269"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lu","raw_affiliation_strings":["Zhengzhou Institute of Information Science and Technology, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou Institute of Information Science and Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100330760"],"corresponding_institution_ids":["https://openalex.org/I4210091712"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.75403972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking 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/T10388","display_name":"Advanced Steganography and Watermarking 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/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/T10057","display_name":"Face and Expression Recognition","score":0.9871000051498413,"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/estimator","display_name":"Estimator","score":0.8806359767913818},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7399628758430481},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5986520648002625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5906839966773987},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.44850435853004456},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4466962218284607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3857339024543762},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3825315237045288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28226977586746216},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2467069923877716}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8806359767913818},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7399628758430481},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5986520648002625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5906839966773987},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.44850435853004456},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4466962218284607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3857339024543762},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3825315237045288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28226977586746216},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2467069923877716},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2482513.2482528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2482513.2482528","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 Information hiding and multimedia security","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/W22271197","https://openalex.org/W1605688901","https://openalex.org/W1934570606","https://openalex.org/W1955882805","https://openalex.org/W1964357740","https://openalex.org/W1972785987","https://openalex.org/W1980264541","https://openalex.org/W1995945562","https://openalex.org/W2044610626","https://openalex.org/W2049562124","https://openalex.org/W2063128958","https://openalex.org/W2071451750","https://openalex.org/W2100128988","https://openalex.org/W2113242816","https://openalex.org/W2124022325","https://openalex.org/W2141434237","https://openalex.org/W2144442031","https://openalex.org/W2151346626","https://openalex.org/W2153635508","https://openalex.org/W2161022751","https://openalex.org/W2167999072","https://openalex.org/W2168847089","https://openalex.org/W2913337807","https://openalex.org/W4232478844","https://openalex.org/W4244214432"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W2373300491","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,122],"achieve":[3],"higher":[4],"estimation":[5,19,32,119],"accuracy":[6,75],"of":[7,12,24,28,42,49,66,76,78],"the":[8,44,47,50,68,71,94,101,106,118,123],"embedding":[9,29],"change":[10,30],"rate":[11,31],"a":[13,26,56],"stego":[14],"object,":[15],"an":[16,40],"ensemble":[17,36,61,109],"learning-based":[18],"method":[20,58,96],"is":[21,37,52,62],"presented.":[22],"First":[23],"all,":[25],"framework":[27],"based":[33],"on":[34],"estimator":[35,45,60,108],"proposed.":[38],"Then":[39],"algorithm":[41],"building":[43],"ensemble,":[46],"core":[48],"framework,":[51],"concretely":[53],"described.":[54],"Finally,":[55],"pruning":[57],"for":[59,83],"proposed":[63,95],"in":[64],"consideration":[65],"both":[67],"diversity":[69],"among":[70],"base":[72,112],"estimators":[73,113],"and":[74,90],"each":[77],"them.":[79],"The":[80],"experimental":[81],"results":[82],"three":[84],"modern":[85],"steganographic":[86],"algorithms":[87],"(nsF5,":[88],"PQ":[89],"PQt)":[91],"indicate":[92],"that":[93],"acquired":[97],"better":[98],"performance":[99],"than":[100],"existed":[102],"typical":[103],"method.":[104],"Furthermore,":[105],"pruned":[107],"with":[110],"less":[111],"maintained,":[114],"even":[115],"slightly":[116],"improved":[117],"accuracy,":[120],"compared":[121],"one":[124],"without":[125],"purning.":[126]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"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"}