Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Venkatesh Jatla"'
Autor:
Venkatesh Jatla, Sravani Teeparthi, Marios S. Pattichis, Sylvia Celedon-Pattichis, Carlos LopezLeiva
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4cbc3d77947e720936455463c91f998
https://doi.org/10.1109/ieeeconf53345.2021.9723241
https://doi.org/10.1109/ieeeconf53345.2021.9723241
Autor:
Carlos LopezLeiva, Sravani Teeparthi, Sylvia Celedón-Pattichis, Venkatesh Jatla, Marios S. Pattichis
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783030891275
CAIP (1)
CAIP (1)
Long-term object detection requires the integration of frame-based results over several seconds. For non-deformable objects, long-term detection is often addressed using object detection followed by video tracking. Unfortunately, tracking is inapplic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c55ef387533b7b20d2bdea2d9f92960
https://doi.org/10.1007/978-3-030-89128-2_43
https://doi.org/10.1007/978-3-030-89128-2_43
Autor:
Marios S. Pattichis, Antonio Gomez, Sylvia Celedón-Pattichis, Carlos LopezLeiva, Venkatesh Jatla, Mario Esparza, Luis Sanchez Tapia
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783030891275
CAIP (1)
CAIP (1)
Speech recognition is very challenging in student learning environments that are characterized by significant cross-talk and background noise. To address this problem, we present a bilingual speech recognition system that uses an interactive video an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::972c6ba425c53ddf156247ba6ae2c450
https://doi.org/10.1007/978-3-030-89128-2_8
https://doi.org/10.1007/978-3-030-89128-2_8
Publikováno v:
DCC
We present a framework for adaptive video encoding based on video content. The basic idea is to analyze the video to determine camera activity (tracking, stationary, or zooming) and then associate each activity with adaptive video quality constraints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16b61718f605f72fb7f7642ce47fee7a
https://doi.org/10.1109/dcc.2017.83
https://doi.org/10.1109/dcc.2017.83
Publikováno v:
SSIAI
Publons
Publons
The emergence of HEVC software implementations allows for several different encoding options. Unfortunately, there is no established method for selecting optimal encoding configurations. The current paper proposes the use of a multi-objective optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbdeedcfd52d7ec0c08fdea77a737f1e
https://doi.org/10.1109/ssiai.2016.7459166
https://doi.org/10.1109/ssiai.2016.7459166
Autor:
Carlos LopezLeiva, Marios S. Pattichis, Venkatesh Jatla, Sylvia Celedón-Pattichis, Cody W. Eilar
Publikováno v:
Publons
ACSSC
ACSSC
The paper proposes an open-source, maintainable system for detecting human activity in video datasets using scalable hardware architectures. The system is validated by detecting writing and typing activities that were collected as part of the Advanci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74febe145e065c4d0f2ebf2afc99712a
https://publons.com/publon/50710766/
https://publons.com/publon/50710766/
Publikováno v:
Publons
ACSSC
ACSSC
Solar image analysis relies on the detection of coronal holes for predicting disruptions to earth's magnetic field. This paper introduces a level-set method for detecting coronal holes based on the processing of extreme ultra-violet images (EUVI) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73bef5cad93f314818bcc752b48b63d1
https://publons.com/publon/50710772/
https://publons.com/publon/50710772/