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- W4316660130 abstract "Hardware-oriented neural video coding (NVC) has been an emerging research topic recently. In this work, we present a P-frame based NVC system by leveraging the parallel neural inference capability of resource-constrained embed platforms, such as field programmable gate array (FPGA). The proposed system, namely FPX-NVC, consists of multiple resolution video capture, reconfigurable and integerized neural video codec and display. Our neural codec enjoys the learned unidirectional inter-predictive coding by jointly optimizing the implicit motion representation (IMR), feature domain motion compensation, and the corresponding prediction error compression, realizing end-to-end on-board encoding and decoding. Our system supports end-to-end video data operation flow from capturing to neural coding and display. To our knowledge, the FPX-NVC is the first inter-predictive coding (P-frame) based hardware NVC system." @default.
- W4316660130 created "2023-01-17" @default.
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- W4316660130 date "2022-12-13" @default.
- W4316660130 modified "2023-10-16" @default.
- W4316660130 title "FPX-NVC: An FPGA-Accelerated P-frame Based Neural Video Coding System" @default.
- W4316660130 cites W2140199336 @default.
- W4316660130 cites W4226361855 @default.
- W4316660130 doi "https://doi.org/10.1109/vcip56404.2022.10008867" @default.
- W4316660130 hasPublicationYear "2022" @default.
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