bibtype C - Conference Paper (international conference)
ARLID 0348592
utime 20240111140745.7
mtime 20101101235959.9
DOI 10.1109/IIHMSP.2010.147
title (primary) (eng) Digital Image Forgery Detection by Local Statistical Models
specification
page_count 4 s.
serial
ARLID cav_un_epca*0348591
ISBN 978-0-7695-4222-5
title 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
page_num 579-582
publisher
place Los Alamitos, California
name IEEE computer society
year 2010
editor
name1 Echizen
name2 Isao
editor
name1 Pan
name2 Jeng-Shyang
editor
name1 Fellner
name2 Dieter
editor
name1 Nouak
name2 Alexander
editor
name1 Kuijper
name2 Arjan
editor
name1 Jain
name2 Lakhmi C.
keyword forgery detection
keyword local statistical models
keyword distribution mixtures
keyword EM algorithm
author (primary)
ARLID cav_un_auth*0101091
name1 Grim
name2 Jiří
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101197
name1 Somol
name2 Petr
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101182
name1 Pudil
name2 Pavel
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type sborník, databáze příspěvků
url http://library.utia.cas.cz/separaty/2010/RO/grim-digital image forgery detection by local statistical models.pdf
cas_special
project
project_id 2C06019
agency GA MŠk
country CZ
ARLID cav_un_auth*0216518
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id GA102/08/0593
agency GA ČR
ARLID cav_un_auth*0239567
project
project_id GA102/07/1594
agency GA ČR
ARLID cav_un_auth*0228611
research CEZ:AV0Z10750506
abstract (eng) We propose an application of local statistical models in the form of a locally estimated Gaussian mixture to image forgery detection. The estimated mixture is used to compute the so called log-likelihood transformation of the original image. We show that image manipulations of different type may be visible in a suitably designed log-likelihood image. Unlike other methods the forgery detection based on local statistical model is rather non-specific and suitable to emphasize various traces of possible image tampering without any prior information.
action
ARLID cav_un_auth*0265017
name 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010)
place Darmstadt
dates 15.10.2010-17.10.2010
country DE
reportyear 2011
RIV IN
num_of_auth 3
permalink http://hdl.handle.net/11104/0189094
arlyear 2010
mrcbU56 sborník, databáze příspěvků
mrcbU63 cav_un_epca*0348591 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing 978-0-7695-4222-5 579 582 Los Alamitos, California IEEE computer society 2010
mrcbU67 Echizen Isao 340
mrcbU67 Pan Jeng-Shyang 340
mrcbU67 Fellner Dieter 340
mrcbU67 Nouak Alexander 340
mrcbU67 Kuijper Arjan 340
mrcbU67 Jain Lakhmi C. 340