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<bibitem type="C">   <ARLID>0381682</ARLID> <utime>20240103201331.2</utime><mtime>20121105235959.9</mtime>    <DOI>10.1145/2093698.2093874</DOI>           <title language="eng" primary="1">Image Tampering Detection Using Methods Based on JPEG Compression Artifacts: A Real-Life Experiment</title>  <specification> <page_count>5 s.</page_count> <media_type>E</media_type> </specification>    <serial><ARLID>cav_un_epca*0370269</ARLID><ISBN>978-1-4503-0913-4</ISBN><title>Proceedings of ISABEL'11</title><part_num/><part_title/><publisher><place>Barcelona</place><name>ACM</name><year>2011</year></publisher></serial>    <keyword>forensic image</keyword>   <keyword>JPEG detection</keyword>    <author primary="1"> <ARLID>cav_un_auth*0206076</ARLID> <name1>Mahdian</name1> <name2>Babak</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept language="eng">Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department language="eng">ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101189</ARLID> <name1>Saic</name1> <name2>Stanislav</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2012/ZOI/mahdian-image tampering detection using methods based on jpeg aompression artifacts a real-life experiment.pdf</url> </source>        <cas_special> <project> <project_id>GPP202/10/P509</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0263484</ARLID> </project> <project> <project_id>VG20102013064</project_id> <agency>GA MV</agency> <ARLID>cav_un_auth*0273814</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">In this paper we analyze the synergy between forensic image head data consistency analysis and detection of doubles  JPEG compression artifacts. We show that image head consistency testing is an eective method for detecting digital images that have been modied. On the other hand, when it  is not combined with other forensic methods such as double JPEG detection, a high number of altered photos remained  undetected. The same can also be claimed about double  JPEG detection. When employed separately without conjunction with other methods, the majority of altered photos  remained undetected. In this paper, a quantitative study on  this topic is carried out. We show that combining various image forensic methods is a must.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0284374</ARLID> <name>ISABEL '11 Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies</name> <place>Barcelona</place> <dates>26.10.2011-29.10.2011</dates>  <country>ES</country> </action>    <reportyear>2013</reportyear>  <RIV>JC</RIV>      <num_of_auth>2</num_of_auth>  <presentation_type> PR </presentation_type>  <permalink>http://hdl.handle.net/11104/0212097</permalink>        <arlyear>2011</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0370269 Proceedings of ISABEL'11 978-1-4503-0913-4 176-1-176-5 Barcelona ACM 2011 </unknown> </cas_special> </bibitem>