Resampling forensics based on multi-directional difference Article Swipe

PDF

Hui Zeng , Xiangui Kang , Anjie Peng ·

YOU? · · 2016 · Open Access · · DOI: https://doi.org/10.1360/n112015-00034

资助摘要重采样操作常用于数字图像篡改, 重采样的盲取证受到了研究者的关注.已有的重采样取证算法主要关注取证检测器的有效性

Related Topics

Computer Science

Artificial Intelligence

Concepts

Resampling Computer science Artificial intelligence

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1360/n112015-00034
PDF: http://engine.scichina.com/doi/pdf/f417721881df48eea6e8a257aab3c117
OA Status: bronze
References: 21
Related Works: 10
OpenAlex ID: https://openalex.org/W2970421838

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W2970421838

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1360/n112015-00034

Digital Object Identifier
Title: Resampling forensics based on multi-directional difference

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2016

Year of publication
Publication date: 2016-05-01

Full publication date if available
Authors: Hui Zeng, Xiangui Kang, Anjie Peng

List of authors in order
Landing page: https://doi.org/10.1360/n112015-00034

Publisher landing page
PDF URL: https://engine.scichina.com/doi/pdf/f417721881df48eea6e8a257aab3c117

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: bronze

Open access status per OpenAlex
OA URL: https://engine.scichina.com/doi/pdf/f417721881df48eea6e8a257aab3c117

Direct OA link when available
Concepts: Resampling, Computer science, Artificial intelligence

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
References (count): 21

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W2970421838
doi	https://doi.org/10.1360/n112015-00034
ids.doi	https://doi.org/10.1360/n112015-00034
ids.mag	2970421838
ids.openalex	https://openalex.org/W2970421838
fwci	0.0
type	article
title	Resampling forensics based on multi-directional difference
biblio.issue	5
biblio.volume	46
biblio.last_page	642
biblio.first_page	627
topics[0].id	https://openalex.org/T12357
topics[0].field.id	https://openalex.org/fields/17
topics[0].field.display_name	Computer Science
topics[0].score	0.9591000080108643
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1707
topics[0].subfield.display_name	Computer Vision and Pattern Recognition
topics[0].display_name	Digital Media Forensic Detection
topics[1].id	https://openalex.org/T14339
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.9329000115394592
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1707
topics[1].subfield.display_name	Computer Vision and Pattern Recognition
topics[1].display_name	Image Processing and 3D Reconstruction
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C150921843
concepts[0].level	2
concepts[0].score	0.6021246314048767
concepts[0].wikidata	https://www.wikidata.org/wiki/Q1170431
concepts[0].display_name	Resampling
concepts[1].id	https://openalex.org/C41008148
concepts[1].level	0
concepts[1].score	0.5412764549255371
concepts[1].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[1].display_name	Computer science
concepts[2].id	https://openalex.org/C154945302
concepts[2].level	1
concepts[2].score	0.361189603805542
concepts[2].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[2].display_name	Artificial intelligence
keywords[0].id	https://openalex.org/keywords/resampling
keywords[0].score	0.6021246314048767
keywords[0].display_name	Resampling
keywords[1].id	https://openalex.org/keywords/computer-science
keywords[1].score	0.5412764549255371
keywords[1].display_name	Computer science
keywords[2].id	https://openalex.org/keywords/artificial-intelligence
keywords[2].score	0.361189603805542
keywords[2].display_name	Artificial intelligence
language	en
locations[0].id	doi:10.1360/n112015-00034
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4210201508
locations[0].source.issn	1674-7267, 2095-9486
locations[0].source.type	journal
locations[0].source.is_oa	False
locations[0].source.issn_l	1674-7267
locations[0].source.is_core	True
locations[0].source.is_in_doaj	False
locations[0].source.display_name	Scientia Sinica Informationis
locations[0].source.host_organization	https://openalex.org/P4310319973
locations[0].source.host_organization_name	Science China Press
locations[0].source.host_organization_lineage	https://openalex.org/P4310319973
locations[0].source.host_organization_lineage_names	Science China Press
locations[0].license
locations[0].pdf_url	http://engine.scichina.com/doi/pdf/f417721881df48eea6e8a257aab3c117
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	SCIENTIA SINICA Informationis
locations[0].landing_page_url	https://doi.org/10.1360/n112015-00034
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5012799900
authorships[0].author.orcid	https://orcid.org/0000-0001-6862-6964
authorships[0].author.display_name	Hui Zeng
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I157773358
authorships[0].affiliations[0].raw_affiliation_string	School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510006, China;
authorships[0].affiliations[1].raw_affiliation_string	Guangdong Key Laboratory of Information Security, Guangzhou 510006, China
authorships[0].institutions[0].id	https://openalex.org/I157773358
authorships[0].institutions[0].ror	https://ror.org/0064kty71
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I157773358
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	Sun Yat-sen University
authorships[0].author_position	first
authorships[0].raw_author_name	Hui ZENG
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	Guangdong Key Laboratory of Information Security, Guangzhou 510006, China, School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510006, China;
authorships[1].author.id	https://openalex.org/A5077333494
authorships[1].author.orcid	https://orcid.org/0000-0002-3134-0353
authorships[1].author.display_name	Xiangui Kang
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I157773358
authorships[1].affiliations[0].raw_affiliation_string	School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510006, China;
authorships[1].affiliations[1].raw_affiliation_string	Guangdong Key Laboratory of Information Security, Guangzhou 510006, China
authorships[1].institutions[0].id	https://openalex.org/I157773358
authorships[1].institutions[0].ror	https://ror.org/0064kty71
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I157773358
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	Sun Yat-sen University
authorships[1].author_position	middle
authorships[1].raw_author_name	Xiangui KANG
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	Guangdong Key Laboratory of Information Security, Guangzhou 510006, China, School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510006, China;
authorships[2].author.id	https://openalex.org/A5014092332
authorships[2].author.orcid	https://orcid.org/0000-0001-9287-7536
authorships[2].author.display_name	Anjie Peng
authorships[2].countries	CN
authorships[2].affiliations[0].institution_ids	https://openalex.org/I1297991670
authorships[2].affiliations[0].raw_affiliation_string	School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang 621010, China;
authorships[2].affiliations[1].institution_ids	https://openalex.org/I157773358
authorships[2].affiliations[1].raw_affiliation_string	School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510006, China;
authorships[2].institutions[0].id	https://openalex.org/I1297991670
authorships[2].institutions[0].ror	https://ror.org/04d996474
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I1297991670
authorships[2].institutions[0].country_code	CN
authorships[2].institutions[0].display_name	Southwest University of Science and Technology
authorships[2].institutions[1].id	https://openalex.org/I157773358
authorships[2].institutions[1].ror	https://ror.org/0064kty71
authorships[2].institutions[1].type	education
authorships[2].institutions[1].lineage	https://openalex.org/I157773358
authorships[2].institutions[1].country_code	CN
authorships[2].institutions[1].display_name	Sun Yat-sen University
authorships[2].author_position	last
authorships[2].raw_author_name	Anjie PENG
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang 621010, China;, School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510006, China;
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	http://engine.scichina.com/doi/pdf/f417721881df48eea6e8a257aab3c117
open_access.oa_status	bronze
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Resampling forensics based on multi-directional difference
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T12357
primary_topic.field.id	https://openalex.org/fields/17
primary_topic.field.display_name	Computer Science
primary_topic.score	0.9591000080108643
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1707
primary_topic.subfield.display_name	Computer Vision and Pattern Recognition
primary_topic.display_name	Digital Media Forensic Detection
related_works	https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2052515325, https://openalex.org/W2050948537, https://openalex.org/W2767646790, https://openalex.org/W2352041579, https://openalex.org/W2138381686, https://openalex.org/W1998176685, https://openalex.org/W2141585124, https://openalex.org/W2032175896
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.1360/n112015-00034
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4210201508
best_oa_location.source.issn	1674-7267, 2095-9486
best_oa_location.source.type	journal
best_oa_location.source.is_oa	False
best_oa_location.source.issn_l	1674-7267
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	Scientia Sinica Informationis
best_oa_location.source.host_organization	https://openalex.org/P4310319973
best_oa_location.source.host_organization_name	Science China Press
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310319973
best_oa_location.source.host_organization_lineage_names	Science China Press
best_oa_location.license
best_oa_location.pdf_url	http://engine.scichina.com/doi/pdf/f417721881df48eea6e8a257aab3c117
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	SCIENTIA SINICA Informationis
best_oa_location.landing_page_url	https://doi.org/10.1360/n112015-00034
primary_location.id	doi:10.1360/n112015-00034
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4210201508
primary_location.source.issn	1674-7267, 2095-9486
primary_location.source.type	journal
primary_location.source.is_oa	False
primary_location.source.issn_l	1674-7267
primary_location.source.is_core	True
primary_location.source.is_in_doaj	False
primary_location.source.display_name	Scientia Sinica Informationis
primary_location.source.host_organization	https://openalex.org/P4310319973
primary_location.source.host_organization_name	Science China Press
primary_location.source.host_organization_lineage	https://openalex.org/P4310319973
primary_location.source.host_organization_lineage_names	Science China Press
primary_location.license
primary_location.pdf_url	http://engine.scichina.com/doi/pdf/f417721881df48eea6e8a257aab3c117
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	SCIENTIA SINICA Informationis
primary_location.landing_page_url	https://doi.org/10.1360/n112015-00034
publication_date	2016-05-01
publication_year	2016
referenced_works	https://openalex.org/W2103534626, https://openalex.org/W1995970271, https://openalex.org/W1546154723, https://openalex.org/W2136313643, https://openalex.org/W1991569626, https://openalex.org/W4255023712, https://openalex.org/W2160921722, https://openalex.org/W2096338590, https://openalex.org/W2162156567, https://openalex.org/W2007994968, https://openalex.org/W2025938798, https://openalex.org/W2121029817, https://openalex.org/W2084252081, https://openalex.org/W1975528596, https://openalex.org/W2134396947, https://openalex.org/W3120421331, https://openalex.org/W1967117936, https://openalex.org/W2159244236, https://openalex.org/W2162963619, https://openalex.org/W2061669853, https://openalex.org/W1955437626
referenced_works_count	21
abstract_inverted_index.资助摘要	0
abstract_inverted_index.重采样操作常用于数字图像篡改,	1
abstract_inverted_index.算法主要关注取证检测器的有效性	3
abstract_inverted_index.重采样的盲取证受到了研究者的关注.已有的重采样取证	2
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	3
sustainable_development_goals[0].id	https://metadata.un.org/sdg/5
sustainable_development_goals[0].score	0.4300000071525574
sustainable_development_goals[0].display_name	Gender equality
citation_normalized_percentile.value	0.24836511
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False