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        A Study on the Digital Integration Path of Regional Cultural Resources - Focusing on the Construction of Lingnan Acient Goddess Culture Database

        Can Wang,Haitong Li,Donglian Chen,정준호 한국자치행정학회 2022 한국자치행정학보 Vol.36 No.3

        The ancient Lingnan area of China was influenced by nature and politics to form a prosperous goddess belief, which has been passed down in continuous development and still plays an important spiritual role for the people of the Lingnan area. The construction of the ancient Lingnan goddess database is an example of the digital integration of cultural resources in the Lingnan region. The knowledge map is used to build logic for the Lingnan ancient goddess database, and attribute extraction is used to collect relevant data. After data integration, the Lingnan ancient goddess resources are optimized and configured. Update data to create a research and understanding platform for different audiences and multi-level services. In the new era of promoting cultural construction in the Guangdong-Hong Kong-Macao Greater Bay Area, the effective application of the ancient Lingnan goddess database is conducive to building a cultural bay area, enhancing the cohesion and centripetal force of the people in Hong Kong and Macao, and thus strengthening the cultural identity of the Chinese nation.

      • An advanced Parallel FPGA Architecture for Bi-directional Motion Estimation

        Yangfan Huang,Minjun Deng,Donglian Li,Zhenzhen Li,Mingyan Yu,Cailan Zeng,Yu Zhang,Zhuo Chen,Pengcheng Cao,Ran Liu 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.9

        Motion estimation (ME) and motion compensation (MC) are the key elements for frame rate up-conversion (FRUC) system. Fast and accurate motion estimation is the premise of high quality motion compensation. Unlike conventional unidirectional motion estimation which brings holes, overlaps and blocking artifacts, the bi-directional motion estimation does not produce any overlapped pixel or hole in the interpolated frames. As a result, the bi-directional motion estimation has better performance than conventional unidirectional motion estimation. This paper presents an efficient FPGA architecture targeting bi-directional motion estimation hardware implementation. This proposed architecture can achieve real-time processing for 1280x720@60Hz under 200MHz operating frequency. The design is described in Verilog HDL, verified in Virtex5 FPGA platform. Experimental results show that the proposed architecture has high performance and low cost for bi-directional motion estimation algorithm. This architecture can be used for video post-processing system.

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