2010 IEEE International Conference on Image Processing 2010
DOI: 10.1109/icip.2010.5651509
|View full text |Cite
|
Sign up to set email alerts
|

Impact of contrast modification on human feeling: an objective and subjective assessment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
12
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(12 citation statements)
references
References 7 publications
0
12
0
Order By: Relevance
“…The proposed approach exploits the blind contrast modification detector developed in [10]. This forensic tool, is based on a set of features collected from the potentially tampered image.…”
Section: Proposed Approachmentioning
confidence: 99%
See 3 more Smart Citations
“…The proposed approach exploits the blind contrast modification detector developed in [10]. This forensic tool, is based on a set of features collected from the potentially tampered image.…”
Section: Proposed Approachmentioning
confidence: 99%
“…The starting point of the proposed work is the result collected by the subjective experiments carried out in [10] in which original and modified image pairs were presented to the subjects who were asked to assess the feeling conveyed by the modified image with respect to the original one. Each subject was asked to rank the feeling of the difference with a score in the range [1 − 5] ('1' very negative, -'5' very positive).…”
Section: Proposed Approachmentioning
confidence: 99%
See 2 more Smart Citations
“…For example in a news report of a demonstration, the anger of the demonstrators may be emphasised by including an appropriate image, or the pleasure of the recipient of an Oscar emphasised by a closeup of the beaming winner. Some analysis of images in documents can provide additional evidence for opinions extracted from the text and in some cases may provide evidence, not obvious from the text, of attempts to unfairly influence the response of the reader [6,55]. A wellknown example was the augmenting of a war zone image to make the smoke and fire more intense than appearing in the original.…”
Section: Extraction Of Supporting Information From Imagesmentioning
confidence: 99%