Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Chun-Su Park"'
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9162 (2024)
In this study, we propose a fire classification system using image clustering based on a federated learning (FL) structure. This system enables fire detection in various industries, including manufacturing. The accurate classification of fire, smoke,
Externí odkaz:
https://doaj.org/article/61f2cd1aee7846a4a38d28b4b6ab64e5
Publikováno v:
IEEE Access, Vol 11, Pp 92322-92352 (2023)
In the elderly population, falls are one of the leading causes of fatal and non-fatal injuries. Fall detection and early alarms play an important role in mitigating the negative effects of falls, especially given the growing proportion of the elderly
Externí odkaz:
https://doaj.org/article/7d77396863de4bb29cad730084387f06
Autor:
Nam Thanh Pham, Chun-Su Park
Publikováno v:
IEEE Access, Vol 11, Pp 11224-11237 (2023)
In the last decades, deep learning (DL) has emerged as a powerful and dominant technique for solving challenging problems in various fields. Likewise, in the field of digital image forensics, a large and growing body of literature investigates DL-bas
Externí odkaz:
https://doaj.org/article/3ac33d6c0a1f470790bee4ec7d22d342
Publikováno v:
IEEE Access, Vol 9, Pp 127852-127865 (2021)
Recent studies on image stitching have been extensively conducted to stitch panoramic or 360° images using a small number of input images. The stitching of aerial images, that are captured by unmanned aerial vehicles (UAVs), has various practical ap
Externí odkaz:
https://doaj.org/article/4b5b65c24c484e3c8ff60720c74046c0
Publikováno v:
Applied Sciences, Vol 10, Iss 13, p 4458 (2020)
In the image forgery problems, previous works has been chiefly designed considering only one of two forgery types: copy-move and splicing. In this paper, we propose a scheme to handle both copy-move and splicing image forgery by concurrently classify
Externí odkaz:
https://doaj.org/article/68fb217b342e4e81a4da263c200f4fda
Publikováno v:
Symmetry, Vol 11, Iss 1, p 83 (2019)
Recently, the task of validating the authenticity of images and the localization of tampered regions has been actively studied. In this paper, we go one step further by providing solid evidence for image manipulation. If a certain image is proved to
Externí odkaz:
https://doaj.org/article/0af200a633b74f269c357910807d5d51
Autor:
Ji Sun Chung, Chun Su Park
Publikováno v:
KOREAN SOCIETY OF TAX LAW. 7:117-157
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f5c08f6a070cd74fc1a8fc218daa2cb
https://doi.org/10.37733/tkjt.2022.7.1.117
https://doi.org/10.37733/tkjt.2022.7.1.117
Publikováno v:
IEEE Access, Vol 9, Pp 127852-127865 (2021)
Recent studies on image stitching have been extensively conducted to stitch panoramic or 360° images using a small number of input images. The stitching of aerial images, that are captured by unmanned aerial vehicles (UAVs), has various practical ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f3a2613512965c130d132a7bb71974b
https://ieeexplore.ieee.org/document/9531644/
https://ieeexplore.ieee.org/document/9531644/
Publikováno v:
Applied Sciences, Vol 10, Iss 4458, p 4458 (2020)
Applied Sciences
Volume 10
Issue 13
Applied Sciences
Volume 10
Issue 13
In the image forgery problems, previous works has been chiefly designed considering only one of two forgery types: copy-move and splicing. In this paper, we propose a scheme to handle both copy-move and splicing image forgery by concurrently classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bd18993646733d1d2b0b3ac1d8825c7
https://www.mdpi.com/2076-3417/10/13/4458
https://www.mdpi.com/2076-3417/10/13/4458
Publikováno v:
Multimedia Tools and Applications. 78:12405-12419
Image splicing is one of the most common methods for digital image tampering. In this paper, an efficient Markov features based algorithm is proposed for image splicing detection. The proposed algorithm first extracts two types of Markov features, co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5951750696643fa97d1f3feb24645ddd
https://doi.org/10.1007/s11042-018-6792-9
https://doi.org/10.1007/s11042-018-6792-9