Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Minglong Xue"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-14 (2023)
Abstract With the widespread adoption of mobile multimedia devices, the deployment of compute-intensive inference tasks on edge and resource-constrained devices, particularly in the context of low-light text detection, remains a formidable challenge.
Externí odkaz:
https://doaj.org/article/b9f7218b3dca4cff8d367262d4f72960
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5392 (2022)
Height estimation from a single Synthetic Aperture Radar (SAR) image has demonstrated a great potential in real-time environmental monitoring and scene understanding. The projection of a single 2D SAR image from multiple 3D height maps is an ill-pose
Externí odkaz:
https://doaj.org/article/7185d02593dd4c35a2e125f677093c05
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32c0dee12cfc92c33ca978a0dbe83e9b
https://doi.org/10.1109/lgrs.2023.3246039
https://doi.org/10.1109/lgrs.2023.3246039
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68921fbce2e89008f69283078c04e2da
https://doi.org/10.1109/lgrs.2020.3040359
https://doi.org/10.1109/lgrs.2020.3040359
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::763c0b767fbcb9875ca9c4899e49da0a
https://doi.org/10.1109/icpr56361.2022.9956060
https://doi.org/10.1109/icpr56361.2022.9956060
Autor:
Palaiahnakote Shivakumara, Umapada Pal, Yao Xiao, Minglong Xue, Chao Zhang, Zhibo Yang, Daniel P. Lopresti, Tong Lu
Publikováno v:
IEEE Transactions on Multimedia. 23:2706-2720
Text detection in low light natural scene images is challenging due to poor image quality and low contrast. Unlike most existing methods that focus on well-lit (normally daylight) images, the proposed method considers much darker natural scene images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61b01cb9e5db557d600617a6159f447c
https://doi.org/10.1109/tmm.2020.3015037
https://doi.org/10.1109/tmm.2020.3015037
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Natural scene text images captured by handheld devices usually cause low resolution (LR) problems, thus making sub-sequent detection and recognition tasks more challenging. To address this problem, LR text images are generally super-resolution (SR) p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef304c5224d6e1735f211ecdc691b500
https://doi.org/10.1109/icme51207.2021.9428128
https://doi.org/10.1109/icme51207.2021.9428128
Autor:
Tong Lu, Minglong Xue, Palaiahnakote Shivakumara, Xuerong Wu, Daniel P. Lopresti, Michael Blumenstein, Umapada Pal
Detecting potential issues in naturally captured images of water is a challenging task due to visual similarities between clean and polluted water, as well as causes posed by image acquisition with different camera angles and placements. This paper p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5ac984dd8ba0515732dd3dad8b172d9
https://hdl.handle.net/10453/149182
https://hdl.handle.net/10453/149182
Publikováno v:
ICDAR
The existing deep learning based state-of-theart scene text detection methods treat scene texts a type of general objects, or segment text regions directly. The latter category achieves remarkable detection results on arbitraryorientation and large a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c78b58d02b2ef3eae01ff860097f70f4
https://doi.org/10.1109/icdar.2019.00116
https://doi.org/10.1109/icdar.2019.00116
Publikováno v:
Advances in Multimedia Information Processing – PCM 2018 ISBN: 9783030007638
PCM (3)
PCM (3)
Text Detection in night video footage is hard due to low contrast and low resolution caused by distance variations between camera and ground under poor light. In this paper, we propose a new fusion based enhancement method for text detection especial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad4da939f232a5b0063b003cd95e1584
https://doi.org/10.1007/978-3-030-00764-5_5
https://doi.org/10.1007/978-3-030-00764-5_5