Stereoscopic image quality assessment by deep convolutional neural network.
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| Title: | Stereoscopic image quality assessment by deep convolutional neural network. |
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| Authors: | Fang, Yuming1, fa0001ng@e.ntu.edu.sg, Yan, Jiebin1, Liu, Xuelin1, Wang, Jiheng1 |
| Source: | Journal of Visual Communication & Image Representation; Jan2019, Vol. 58, p400-406, 7p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 134849482 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=134849482 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jvcir.2018.12.006 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 400 Titles: – TitleFull: Stereoscopic image quality assessment by deep convolutional neural network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fang, Yuming – PersonEntity: Name: NameFull: Yan, Jiebin – PersonEntity: Name: NameFull: Liu, Xuelin – PersonEntity: Name: NameFull: Wang, Jiheng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 10473203 Numbering: – Type: volume Value: 58 Titles: – TitleFull: Journal of Visual Communication & Image Representation Type: main |
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