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<bibitem type="C">   <ARLID>0355072</ARLID> <utime>20240103194713.3</utime><mtime>20110218235959.9</mtime>         <title language="eng" primary="1">Detecting Double Compressed JPEG Images</title>  <specification> <page_count>6 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0356680</ARLID><ISBN>978-1-84919-207-1</ISBN><title>Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention 2009 (ICDP 2009)</title><part_num/><part_title/><publisher><place>Rostrevor</place><name>Curran Associates, Inc</name><year>2010</year></publisher></serial>    <keyword>Image forensics</keyword>   <keyword>Blind forgery detection</keyword>   <keyword>double jpeg compression</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/2011/ZOI/mahdian-detecting double compressed jpeg images.pdf</url> </source>        <cas_special> <project> <project_id>GA102/08/0470</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0239565</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">When altering a JPEG image,  typically it is loaded into a photo–editing software and after  manipulations are carried out, the image is re–saved. This operation,  typically, brings into the image specific artifacts. In  this paper we focus on these artifacts and propose an automatic  method capable of detecting them.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0268867</ARLID> <name>3rd International Conference on Imaging for Crime Detection and Prevention (ICDP-09)</name>  <place>London</place> <dates>03.12.2009-03.12.2009</dates>  <country>GB</country> </action>    <reportyear>2011</reportyear>  <RIV>IN</RIV>      <permalink>http://hdl.handle.net/11104/0193921</permalink>        <arlyear>2010</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0356680 Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention 2009 (ICDP 2009) 978-1-84919-207-1 P12 Rostrevor Curran Associates, Inc 2010 </unknown> </cas_special> </bibitem>