Jomodevi: a joint motion and depth visibility prediction algorithm for perceived stereoscopic 3D quality

Sria Biswas; Balasubramanyam Appina; Peter A. Kara; Aniko Simon

doi:10.1016/j.image.2022.116820

Jomodevi: a joint motion and depth visibility prediction algorithm for perceived stereoscopic 3D quality

Sria Biswas
, Balasubramanyam Appina
, Peter A. Kara
, Aniko Simon

Research output: Contribution to journal › Article › peer-review

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Original language	English
Article number	116820
Journal	Signal Processing: Image Communication
Volume	108
Early online date	16 Jul 2022
DOIs	https://doi.org/10.1016/j.image.2022.116820
Publication status	Published - 31 Oct 2022

Bibliographical note

Note: The scientific efforts leading to the results reported in this paper were supported in part by the Department of Science and Technology — Science and Engineering Research Board, Government of India under grant SRG/2020/000336; by the DST under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), Government of India, Technology Innovation Hub (TiHAN), IIT Hyderabad, under grant TiHAN-IITH/03/2021-22/46(4); and by project no. BME-NVA-02, implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund , financed under the TKP2021 funding scheme.

Keywords

Computer science and informatics

Access to Document

10.1016/j.image.2022.116820

Kara-P-52213-AAMAccepted author manuscript, 8.26 MBLicence: CC BY-NC-ND

https://doi.org/10.1016/j.image.2022.116820

Cite this

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title = "Jomodevi: a joint motion and depth visibility prediction algorithm for perceived stereoscopic 3D quality",

keywords = "Computer science and informatics",

author = "Sria Biswas and Balasubramanyam Appina and Kara, \{Peter A.\} and Aniko Simon",

note = "Note: The scientific efforts leading to the results reported in this paper were supported in part by the Department of Science and Technology — Science and Engineering Research Board, Government of India under grant SRG/2020/000336; by the DST under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), Government of India, Technology Innovation Hub (TiHAN), IIT Hyderabad, under grant TiHAN-IITH/03/2021-22/46(4); and by project no. BME-NVA-02, implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund , financed under the TKP2021 funding scheme.",

year = "2022",

month = oct,

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doi = "10.1016/j.image.2022.116820",

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journal = "Signal Processing: Image Communication",

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T1 - Jomodevi

T2 - a joint motion and depth visibility prediction algorithm for perceived stereoscopic 3D quality

AU - Biswas, Sria

AU - Appina, Balasubramanyam

AU - Kara, Peter A.

AU - Simon, Aniko

N1 - Note: The scientific efforts leading to the results reported in this paper were supported in part by the Department of Science and Technology — Science and Engineering Research Board, Government of India under grant SRG/2020/000336; by the DST under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), Government of India, Technology Innovation Hub (TiHAN), IIT Hyderabad, under grant TiHAN-IITH/03/2021-22/46(4); and by project no. BME-NVA-02, implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund , financed under the TKP2021 funding scheme.

PY - 2022/10/31

Y1 - 2022/10/31

KW - Computer science and informatics

U2 - 10.1016/j.image.2022.116820

DO - 10.1016/j.image.2022.116820

M3 - Article

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VL - 108

JO - Signal Processing: Image Communication

JF - Signal Processing: Image Communication

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