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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1757
DC FieldValueLanguage
dc.contributor.authorNguyen Tuan Ngocen_US
dc.date.accessioned2024-02-15T07:31:52Z-
dc.date.available2024-02-15T07:31:52Z-
dc.date.issued2023-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1757-
dc.description.abstractIn the realm of human detected in animation, the challenge often revolves around large data availability. This thesis, titled "A Study on AI Technologies and Application to Human Detection in Animated Movies" delves into this issue by harnessing the power of transfer learning. A key innovation is the introduction of the duplicate image filtering technique, designed to enhance data quality for large-scale datasets by identifying and moving similar images within clusters. This function is expedited using advanced concurrency mechanisms, thereby accelerating the data preparation phase and ensuring robustness in human detection models. Moreover, the study proposes an inventive approach that combines supervised learning with image super-resolution, drawing inspiration from Real ESRGAN. This amalgamation serves a dual purpose: enhancing the accuracy of human detection and seamlessly integrating these detected figures into various animated contextsen_US
dc.language.isovien_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectSupervised learningen_US
dc.subjectDuplicate image filteringen_US
dc.subjectTransfer learningen_US
dc.titleA study on AI technologies and application to human detection in animated moviesen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computer Science (CS)
Computer Science (CS)
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