Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Charith Abhayaratne"'
Autor:
Shuohan Xue, Charith Abhayaratne
Publikováno v:
IEEE Access, Vol 11, Pp 28856-28872 (2023)
Coronavirus disease 2019, commonly known as COVID-19, is an extremely contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Computerised Tomography (CT) scans based diagnosis and progression analysis of COVID-19 h
Externí odkaz:
https://doaj.org/article/1693232e20224c23af3afd26e16e63d8
Publikováno v:
IEEE Access, Vol 9, Pp 82686-82700 (2021)
Neuromorphic vision sensors provide low power sensing and capture salient spatial-temporal events. The majority of the existing neuromorphic sensing work focus on object detection. However, since they only record the events, they provide an efficient
Externí odkaz:
https://doaj.org/article/26a3f2dc17dd409e9550ff7e5d065665
Autor:
Basheer Alwaely, Charith Abhayaratne
Publikováno v:
IEEE Access, Vol 8, Pp 182260-182272 (2020)
Addressing intra-class variation in high similarity shapes is a challenging task in shape representation due to highly common local and global shape characteristics. Therefore, this paper proposes a new set of hand-crafted features for shape recognit
Externí odkaz:
https://doaj.org/article/c9ae4fd0a7c746a7b8c759f21f43b38e
Modeling Temporal Visual Salience for Human Action Recognition Enabled Visual Anonymity Preservation
Publikováno v:
IEEE Access, Vol 8, Pp 213806-213824 (2020)
This paper proposes a novel approach for visually anonymizing video clips while retaining the ability to machine-based analysis of the video clip, such as, human action recognition. The visual anonymization is achieved by proposing a novel method for
Externí odkaz:
https://doaj.org/article/ebdb62be58ec4c2cad447be4870a7312
Autor:
Basheer Alwaely, Charith Abhayaratne
Publikováno v:
IEEE Access, Vol 7, Pp 159661-159673 (2019)
This paper addresses the problem of recognition of dynamic shapes by representing the structure in a shape as a graph and learning the graph spectral domain features. Our proposed method includes pre-processing for converting the dynamic shapes into
Externí odkaz:
https://doaj.org/article/cbec25e610314ed9a4826aac274a7dc9
Publikováno v:
IEEE Access, Vol 4, Pp 8002-8018 (2016)
Imperceptibility and robustness are two complementary but fundamental requirements of any watermarking algorithm. Low strength watermarking yields high imperceptibility but exhibits poor robustness. High strength watermarking schemes achieve good rob
Externí odkaz:
https://doaj.org/article/0d3e71274d234c70856ba0cc1c5d577b
Autor:
Deepayan Bhowmik, Charith Abhayaratne
Publikováno v:
Advances in Multimedia, Vol 2012 (2012)
A novel watermarking framework for scalable coded video that improves the robustness against quality scalable compression is presented in this paper. Unlike the conventional spatial-domain (t + 2D) water-marking scheme where the motion compensated te
Externí odkaz:
https://doaj.org/article/ccab4e1b40594ecca9e8ee3059628e3f
Publikováno v:
Encyclopedia of Materials: Electronics ISBN: 9780128197356
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd5c5417ef626d0735ce388ad3e5bce6
https://doi.org/10.1016/b978-0-12-819728-8.00007-3
https://doi.org/10.1016/b978-0-12-819728-8.00007-3
Autor:
Basheer Alwaely, Charith Abhayaratne
An efficient and accurate shape detection model plays a major role in many research areas. With the emergence of more complex shapes in real-life applications, shape recognition models need to capture the structure with more effective features to ach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ea08249a7c7f726eb4e4f6fbf69fca
https://eprints.whiterose.ac.uk/190833/1/Paper_TOMM-2021-0058.pdf
https://eprints.whiterose.ac.uk/190833/1/Paper_TOMM-2021-0058.pdf
Autor:
Deepayan Bhowmik, Charith Abhayaratne
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 15:1-24
Imperceptibility and robustness are two complementary fundamental requirements of any watermarking algorithm. Low-strength watermarking yields high imperceptibility, but exhibits poor robustness. High-strength watermarking schemes achieve good robust