Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/636960
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhongpai Gaoen_US
dc.contributor.authorGuangtao Zhaien_US
dc.contributor.authorJiantao Zhouen_US
dc.date.accessioned2020-05-20T09:58:20Z-
dc.date.available2020-05-20T09:58:20Z-
dc.date.issued2016en_US
dc.identifier.issn1520-9210en_US
dc.identifier.issn1941-0077en_US
dc.identifier.other10.1109/TMM.2016.2523425en_US
dc.identifier.urihttp://localhost/handle/Hannan/172848en_US
dc.identifier.urihttp://localhost/handle/Hannan/636960-
dc.description.abstractTemporal psychovisual modulation (TPVM) is a new information display technology which aims to generate multiple visual percepts for different viewers on a single display simultaneously. In a TPVM system, the viewers wearing different active liquid crystal (LC) glasses with varying transparency levels can see different images (called personal views). The viewers without LC glasses can also see a semantically meaningful image (called shared view). The display frames and weights for the LC glasses in the TPVM system can be computed through nonnegative matrix factorization (NMF) with three additional constrains: the values of images and modulation weights should have upper bound (i.e., limited luminance of the display and transparency level of the LC); the shared view without using viewing devices should be considered (i.e., the sum of all basis images should be a meaningful image); and the sparsity of modulation weights should be considered due to the material property of LC. In this paper, we proposed to solve the constrained NMF problem by a modified version of hierarchical alternating least squares (HALS) algorithms. Through experiments, we analyze the choice of parameters in the setup of TPVM system. This work serves as a guideline for practical implementation of TPVM display system.en_US
dc.publisherIEEEen_US
dc.relation.haspart7394152.pdfen_US
dc.subjectVisual Signal Processing|Image Display|Nonnegative Matrix Factorization|Temporal Psychovisual Modulation|Hierarchical ALSen_US
dc.titleFactorization Algorithms for Temporal Psychovisual Modulation Displayen_US
dc.typeArticleen_US
dc.journal.volume18en_US
dc.journal.issue4en_US
dc.journal.titleIEEE Transactions on Multimediaen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7394152.pdf1.65 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhongpai Gaoen_US
dc.contributor.authorGuangtao Zhaien_US
dc.contributor.authorJiantao Zhouen_US
dc.date.accessioned2020-05-20T09:58:20Z-
dc.date.available2020-05-20T09:58:20Z-
dc.date.issued2016en_US
dc.identifier.issn1520-9210en_US
dc.identifier.issn1941-0077en_US
dc.identifier.other10.1109/TMM.2016.2523425en_US
dc.identifier.urihttp://localhost/handle/Hannan/172848en_US
dc.identifier.urihttp://localhost/handle/Hannan/636960-
dc.description.abstractTemporal psychovisual modulation (TPVM) is a new information display technology which aims to generate multiple visual percepts for different viewers on a single display simultaneously. In a TPVM system, the viewers wearing different active liquid crystal (LC) glasses with varying transparency levels can see different images (called personal views). The viewers without LC glasses can also see a semantically meaningful image (called shared view). The display frames and weights for the LC glasses in the TPVM system can be computed through nonnegative matrix factorization (NMF) with three additional constrains: the values of images and modulation weights should have upper bound (i.e., limited luminance of the display and transparency level of the LC); the shared view without using viewing devices should be considered (i.e., the sum of all basis images should be a meaningful image); and the sparsity of modulation weights should be considered due to the material property of LC. In this paper, we proposed to solve the constrained NMF problem by a modified version of hierarchical alternating least squares (HALS) algorithms. Through experiments, we analyze the choice of parameters in the setup of TPVM system. This work serves as a guideline for practical implementation of TPVM display system.en_US
dc.publisherIEEEen_US
dc.relation.haspart7394152.pdfen_US
dc.subjectVisual Signal Processing|Image Display|Nonnegative Matrix Factorization|Temporal Psychovisual Modulation|Hierarchical ALSen_US
dc.titleFactorization Algorithms for Temporal Psychovisual Modulation Displayen_US
dc.typeArticleen_US
dc.journal.volume18en_US
dc.journal.issue4en_US
dc.journal.titleIEEE Transactions on Multimediaen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7394152.pdf1.65 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhongpai Gaoen_US
dc.contributor.authorGuangtao Zhaien_US
dc.contributor.authorJiantao Zhouen_US
dc.date.accessioned2020-05-20T09:58:20Z-
dc.date.available2020-05-20T09:58:20Z-
dc.date.issued2016en_US
dc.identifier.issn1520-9210en_US
dc.identifier.issn1941-0077en_US
dc.identifier.other10.1109/TMM.2016.2523425en_US
dc.identifier.urihttp://localhost/handle/Hannan/172848en_US
dc.identifier.urihttp://localhost/handle/Hannan/636960-
dc.description.abstractTemporal psychovisual modulation (TPVM) is a new information display technology which aims to generate multiple visual percepts for different viewers on a single display simultaneously. In a TPVM system, the viewers wearing different active liquid crystal (LC) glasses with varying transparency levels can see different images (called personal views). The viewers without LC glasses can also see a semantically meaningful image (called shared view). The display frames and weights for the LC glasses in the TPVM system can be computed through nonnegative matrix factorization (NMF) with three additional constrains: the values of images and modulation weights should have upper bound (i.e., limited luminance of the display and transparency level of the LC); the shared view without using viewing devices should be considered (i.e., the sum of all basis images should be a meaningful image); and the sparsity of modulation weights should be considered due to the material property of LC. In this paper, we proposed to solve the constrained NMF problem by a modified version of hierarchical alternating least squares (HALS) algorithms. Through experiments, we analyze the choice of parameters in the setup of TPVM system. This work serves as a guideline for practical implementation of TPVM display system.en_US
dc.publisherIEEEen_US
dc.relation.haspart7394152.pdfen_US
dc.subjectVisual Signal Processing|Image Display|Nonnegative Matrix Factorization|Temporal Psychovisual Modulation|Hierarchical ALSen_US
dc.titleFactorization Algorithms for Temporal Psychovisual Modulation Displayen_US
dc.typeArticleen_US
dc.journal.volume18en_US
dc.journal.issue4en_US
dc.journal.titleIEEE Transactions on Multimediaen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7394152.pdf1.65 MBAdobe PDFThumbnail
Preview File