{"id":"https://openalex.org/W3114158804","doi":"https://doi.org/10.1145/3430199.3430234","title":"A High Capacity Reversible Watermarking Algorithm Based on Block-Level Prediction Error Histogram Shifting","display_name":"A High Capacity Reversible Watermarking Algorithm Based on Block-Level Prediction Error Histogram Shifting","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3114158804","doi":"https://doi.org/10.1145/3430199.3430234","mag":"3114158804"},"language":"en","primary_location":{"id":"doi:10.1145/3430199.3430234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430199.3430234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","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/A5037017424","display_name":"Xin Tang","orcid":"https://orcid.org/0000-0002-5056-124X"},"institutions":[{"id":"https://openalex.org/I67636235","display_name":"University of International Relations","ror":"https://ror.org/04r72en83","country_code":"CN","type":"education","lineage":["https://openalex.org/I67636235"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Tang","raw_affiliation_strings":["School of Information Science and Technology, University of International Relations, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of International Relations, Beijing, China","institution_ids":["https://openalex.org/I67636235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101638562","display_name":"Linna Zhou","orcid":"https://orcid.org/0000-0001-8951-5550"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linna Zhou","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061290454","display_name":"Dan Liu","orcid":"https://orcid.org/0000-0002-5211-4865"},"institutions":[{"id":"https://openalex.org/I67636235","display_name":"University of International Relations","ror":"https://ror.org/04r72en83","country_code":"CN","type":"education","lineage":["https://openalex.org/I67636235"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Liu","raw_affiliation_strings":["School of Information Science and Technology, University of International Relations, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of International Relations, Beijing, China","institution_ids":["https://openalex.org/I67636235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388291","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0003-1832-1235"},"institutions":[{"id":"https://openalex.org/I67636235","display_name":"University of International Relations","ror":"https://ror.org/04r72en83","country_code":"CN","type":"education","lineage":["https://openalex.org/I67636235"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of International Relations, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of International Relations, Beijing, China","institution_ids":["https://openalex.org/I67636235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037017424"],"corresponding_institution_ids":["https://openalex.org/I67636235"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58237548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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":1.0,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9968000054359436,"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":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8866709470748901},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6850678324699402},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.6797345280647278},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6691854000091553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6395388841629028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.599307656288147},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5490645170211792},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5211986899375916},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5035037398338318},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.4647746682167053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4542149305343628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43718820810317993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3570489287376404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25627195835113525}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8866709470748901},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6850678324699402},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.6797345280647278},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6691854000091553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6395388841629028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.599307656288147},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5490645170211792},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5211986899375916},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5035037398338318},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.4647746682167053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4542149305343628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43718820810317993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3570489287376404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25627195835113525},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430199.3430234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430199.3430234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2016057859","https://openalex.org/W2031679745","https://openalex.org/W2043549957","https://openalex.org/W2069443469","https://openalex.org/W2070482985","https://openalex.org/W2077655295","https://openalex.org/W2121393355","https://openalex.org/W2335706454","https://openalex.org/W2469782364","https://openalex.org/W2733867256","https://openalex.org/W2792371846","https://openalex.org/W2899516348","https://openalex.org/W2945338307","https://openalex.org/W2976238091"],"related_works":["https://openalex.org/W2794704245","https://openalex.org/W1998334300","https://openalex.org/W2247097764","https://openalex.org/W2066185872","https://openalex.org/W2375849557","https://openalex.org/W2110241600","https://openalex.org/W2146297113","https://openalex.org/W2109325523","https://openalex.org/W2141966243","https://openalex.org/W2256021896"],"abstract_inverted_index":{"The":[0,51],"paper":[1],"proposes":[2],"a":[3,30,49],"high":[4,73],"capacity":[5,99],"reversible":[6,113],"watermarking":[7,114],"algorithm":[8,96,115],"based":[9,27,112],"on":[10],"block-level":[11],"prediction":[12,23,108],"error":[13,24,109],"histogram":[14,25,110],"shifting.":[15],"This":[16],"algorithm,":[17],"in":[18],"contrast":[19],"to":[20],"the":[21,56,60,66,81,90,101,106,119],"known":[22],"shifting":[26,111],"ones,":[28],"provides":[29],"higher":[31,98],"embedding":[32],"capacity,":[33],"which":[34],"is":[35,53,63],"achieved":[36],"by":[37,55,87],"employing":[38],"similarity":[39,76],"among":[40],"adjacent":[41,70],"blocks":[42,71],"rather":[43],"than":[44],"simply":[45],"pixels":[46,68],"inside":[47],"of":[48,69,75],"block.":[50],"imperceptibility":[52,103],"ensured":[54],"premise":[57],"that":[58,93],"once":[59],"block":[61],"selected":[62],"small":[64],"enough,":[65],"center":[67],"have":[72],"probability":[74],"or":[77],"equality.":[78],"At":[79],"last,":[80],"effectiveness":[82],"and":[83,89],"performance":[84],"are":[85],"evaluated":[86],"experiments":[88],"result":[91],"shows":[92],"our":[94],"proposed":[95],"has":[97],"under":[100],"same":[102],"compared":[104],"with":[105],"classic":[107],"as":[116,118],"well":[117],"state-of-the-art.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
