In the context of the emerging semantic communication paradigm, this study proposes a novel Semantic-Aided JSCC framework for video transmission. By leveraging semantic information from frame segmentation maps, the framework improves reconstructed video quality, reduces bandwidth consumption, and enhances robustness to channel impairments. The proposed approach offers significant advantages while maintaining computational efficiency, making it suitable for resource-constrained applications.
SVILUPPO DI UN MODELLO JSCC COADIUVATO DA INFORMAZIONI SEMANTICHE PER UNA TRASMISSIONE EFFICIENTE DI DATI VIDEO
COPPOLA, GIANVITO
2023/2024
Abstract
In the context of the emerging semantic communication paradigm, this study proposes a novel Semantic-Aided JSCC framework for video transmission. By leveraging semantic information from frame segmentation maps, the framework improves reconstructed video quality, reduces bandwidth consumption, and enhances robustness to channel impairments. The proposed approach offers significant advantages while maintaining computational efficiency, making it suitable for resource-constrained applications.File in questo prodotto:
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Thesis_Coppola.pdf
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Descrizione: In the context of the emerging semantic communication paradigm, this study proposes a novel Semantic-Aided JSCC framework for video transmission. By leveraging semantic information from frame segmentation maps, the framework improves reconstructed video.
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14253/64903