Počet záznamů: 1
Imaging device identification and detection of image tampering
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SYSNO ASEP 0450676 Druh ASEP A - Abstrakt Zařazení RIV Není vybrán druh dokumentu Název Imaging device identification and detection of image tampering Tvůrce(i) Zitová, Barbara (UTIA-B) RID, ORCID
Šroubek, Filip (UTIA-B) RID, ORCID
Kamenický, Jan (UTIA-B) RID, ORCID
Mahdian, Babak (UTIA-B) RID
Novozámský, Adam (UTIA-B) RID, ORCID
Saic, Stanislav (UTIA-B)
Zita, Aleš (UTIA-B) RID, ORCID
Šíma, Z. (CZ)
Švarc, P. (CZ)
Hořínek, J. (CZ)Celkový počet autorů 10 Zdroj.dok. Abstract book of 7th European Academy of Forensic Science Conference. - Praha : Institute of Criminalistics Prague, 2015 Poč.str. 1 s. Forma vydání Nosič - C Akce European Academy of Forensic Science Conference 2015 /7./ Datum konání 06.09.2015-11.09.2015 Místo konání Praha Země CZ - Česká republika Typ akce EUR Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova image forensic ; image verification ; image forgery Vědní obor RIV JD - Využití počítačů, robotika a její aplikace CEP VG20102013064 GA MV - Ministerstvo vnitra Institucionální podpora UTIA-B - RVO:67985556 Anotace Current forensic analysis of digital photographs, videos, and corresponding scanning devices often represents an important part of criminal investigation. Imaging devices such as digital cameras, camcorders, or scanners are nowadays widely used, many criminal acts are captured by them, and, moreover, some of the criminal acts are even directly dependent on them, like for example children pornography or tax evasions. In our research we focused on an identification of imaging devices under investigation and on following verification of an originality of acquired images. The ability to uniquely identify or to exclude certain types or models of imaging devices as possible imaging device is very important for the very investigation process. The Imaging Device Identification provides suggestions about the manufacturer and the given model based on the analysis of sensor noise characteristics and on the image-related EXIF information, which reflects camera producer. The noise characteristics were chosen for their discriminability, stability, and accuracy even under real conditions. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2016
Počet záznamů: 1