Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mohammed A. Aabed"'
Publikováno v:
Egyptian Journal of Aquatic Biology and Fisheries. 24:523-538
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d67d0dd53fed1b45d0db8ee38d6d8899
https://doi.org/10.21608/ejabf.2020.108593
https://doi.org/10.21608/ejabf.2020.108593
Autor:
Ghassan AlRegib, Mohammed A. Aabed
Publikováno v:
IEEE Transactions on Broadcasting. 65:534-545
In this paper, we introduce PeQASO, a perceptual quality assessment framework for streamed videos using optical flow features. This approach is a reduced-reference pixel-based and relies only on the deviation of the optical flow of the corrupted fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1341def1059348a1ff09b62944b93a4c
https://doi.org/10.1109/tbc.2018.2881363
https://doi.org/10.1109/tbc.2018.2881363
Publikováno v:
ICME
We propose a perceptual video quality assessment (PVQA) metric for distorted videos by analyzing the power spectral density (PSD) of a group of pictures. This is an estimation approach that relies on the changes in video dynamic calculated in the fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07380075e1245b173cc92a12a518a39f
Autor:
Ghassan AlRegib, Mohammed A. Aabed
Publikováno v:
MMSP
In this paper, we investigate the challenge of distortion map feature selection and spatiotemporal pooling in perceptual video quality assessment (PVQA). We analyze three distortion maps representing different visual features spatially and temporally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee166d7dac1bd437a159598caeed4c1c
https://doi.org/10.1109/mmsp.2016.7813336
https://doi.org/10.1109/mmsp.2016.7813336
Publikováno v:
ICIP
In this paper, we present a low-complexity loop filter for video coding. We begin by presenting a set of non-Wiener based loop filters that can complement the Wiener-based adaptive loop filter which was considered as a tool for possible adoption in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67d5acec4fad47c74aca15389613a111
https://doi.org/10.1109/icip.2015.7351498
https://doi.org/10.1109/icip.2015.7351498
Autor:
Ghassan AlRegib, Mohammed A. Aabed
Publikováno v:
ICIP
We propose a perceptual video quality monitoring metric for streaming applications using the optical flow features. This approach is a reduced-reference pixel-based and relies only on the deviation of the optical flow of the corrupted frames. This te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a80f1d4a199d5a0530448a6fa0665246
https://doi.org/10.1109/icip.2015.7351231
https://doi.org/10.1109/icip.2015.7351231
Autor:
Ghassan Al Regib, Mohammed A. Aabed
Publikováno v:
GlobalSIP
This paper proposes a novel perceptual video quality assessment metric for streamed videos using optical flow statistical features. We analyze the impact of network losses on the decoded videos and the resulting error propagation. We show that the st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cee6c617ad2a2250f6a40399d044cf83
https://doi.org/10.1109/globalsip.2014.7032286
https://doi.org/10.1109/globalsip.2014.7032286
Publikováno v:
Visual Information Processing and Communication
In this paper, we propose a method to extract depth from motion, texture and intensity. We first analyze the depth map to extract a set of depth cues. Then, based on these depth cues, we process the colored reference video, using texture, motion, lum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e7fe5708d2b9bdac854b54d0fc3001a
https://doi.org/10.1117/12.2005161
https://doi.org/10.1117/12.2005161
Publikováno v:
Radiologic Clinics of North America. 33:787-804
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::232ccc55ba9c402a5891dcaa1e28d736
https://doi.org/10.1016/s0033-8389(22)00619-4
https://doi.org/10.1016/s0033-8389(22)00619-4
Publikováno v:
ACSCC
We propose a method to reconstruct the depth map from multiple estimated depth maps relying on monocular cues. Based on extracted depth cues from luminance, chrominance, motion and texture, we obtain an optimal depth estimation by analytically derivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d68a65e02b2910050ccd8b255704c8f0
https://doi.org/10.1109/acssc.2012.6489108
https://doi.org/10.1109/acssc.2012.6489108