Special Topic on Cultural Computing

  • Special Topic on Cultural Computing

    The rapid development of information technology has brought changes in the mode of cultural digital production and communication. How to quantzation, understand and spread culture has become an urgent problem to be solved in the field of cultural digitization. Therefore, it is necessary to build a culture semantic representation space, carry out multi perspective, multi-dimensional and multi-level cultural mining, as well as its internal relevance and research on discovery of evolution law, so as to mining and elucidating the historical , artistic and scientific value of enabling culture, and provide scientific theoretical basis and key technical support for cultural protection and inheritance. Facing the problems of short supply board, digital divide and data island in the process of cultural digitization, "cultural computing", as the basic theory of cultural digitization production, communication and experience, is gradually recognized by the academic community, and its supporting role in the cultural science and technology industry is becoming more and more obvious. It has gradually become the core driving force for the development of cultural industry.  Hence,  This special topic provides researchers a forum to present their research on the concept of cultural computing theory,technologies and engineering method , etc.

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    Research on Avatar-like robot design based on virtual museum scene
    The Journal of China Universities of Posts and Telecommunications    2022, 29 (2): 43-51.   DOI: 10. 19682/ j. cnki. 1005-8885. 2022. 0015
    Abstract395)      PDF       Save
    An Avatar-like robot in a virtual museum environment was designed to perform the function of telepresence and teleoperation, and make the three-dimensional (3D) effect through a binocular camera and a virtual reality (VR) head-mounted display (HMD). This robot supports users to participate in the exhibition remotely in a new and interactive way in multiple scenarios. The results show that the system has good usability and is worth further  optimizing.
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    Research on sentiment terms extraction and visualization of character sentimental interactions in A Dream of Red Mansions
    The Journal of China Universities of Posts and Telecommunications    2022, 29 (2): 24-32.   DOI: 10. 19682/ j. cnki. 1005-8885. 2022. 0013
    Abstract557)      PDF       Save

    In the context of interdisciplinary research, using computer technology to further mine keywords in cultural texts and carry out semantic analysis can deepen the understanding of texts, and provide quantitative support and evidence for humanistic studies. Based on the novel A Dream of Red Mansions, the automatic extraction and classification of those sentiment terms in it were realized, and detailed analysis of large-scale sentiment terms was carried out. Bidirectional encoder representation from transformers (BERT) pretraining and fine-tuning model was used to construct the sentiment classifier of A Dream of Red Mansions. Sentiment terms of A Dream of Red Mansions are divided into eight sentimental categories, and the relevant people in sentences are extracted according to specific rules. It also tries to visually display the sentimental interactions between Twelve Girls of Jinling and Jia Baoyu along with the development of the episode. The overall F1 score of BERT-based sentiment classifier reached 84-89%. The best single sentiment score reached 91-15%. Experimental results show that the classifier can satisfactorily classify the text of A Dream of Red  Mansions, and the text classification and interactional analysis results can be mutually verified with the text interpretation of A dream of Red Mansions by literature experts.

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    Shared experiences across multiple devices: a new digital interactive experience method for cultural heritage based on mixed reality
    Lu Zhichao, Zhao Haiying
    The Journal of China Universities of Posts and Telecommunications    2022, 29 (2): 1-12.   DOI: 10. 19682/ j. cnki. 1005-8885. 2022. 0011
    Abstract733)      PDF       Save

    In order to study the role of the new technological concept of shared experiences in the digital interactive experience of cultural heritage and apply it to the digital interactive experience of cultural heritage to solve the current problems in this field, starting from the mixed reality (MR) technology that the shared experiences rely on, proper software and hardware platforms were investigated and selected, a universal shared experiences solution was designed, and an experimental project based on the proposed solution was made to verify its feasibility. In the end, a proven and workable shared experiences solution was obtained. This solution included a proposed MR spatial alignment method, and it integrated the existing MR content production process and standard network synchronization functions. Furthermore, it is concluded that the introduction and reasonable use of new technologies can help the development of the digital interactive experience of cultural heritage. The shared experiences solution for the digital interactive experience of cultural heritage balances investment issues in the exhibition, display effect, and user experience. It can speed up the promotion of cultural heritage and bring the vitality of MR technology to relevant projects.

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    Back in time: digital restoration techniques for the millennium Dunhuang murals
    The Journal of China Universities of Posts and Telecommunications    2022, 29 (2): 13-23.   DOI: 10. 19682/ j. cnki. 1005-8885. 2022. 0012
    Abstract614)      PDF       Save

    In the long history of more than 1 500 years, Dunhuang murals suffered from various deteriorations causing irreversible damage such as falling off, fading, and so on. However, the existing Dunhuang mural restoration methods are time-consuming and not feasible to facilitate cultural issemination and permanent inheritance. Inspired by cultural computing using artificial intelligence, gated-convolution-based dehaze net (GD-Net) was proposed for Dunhuang mural refurbishment and comprehensive protection. First, a neural network with gated convolution was applied to restore the falling off areas of the mural to ensure the integrity of the mural content. Second, a dehaze network was applied to enhance image quality to cope with the fading of the mural. Besides, a Dunhuang mural dataset was presented to meet the needs of deep learning approach, containing 1 180 images from the Cave 290 and Cave 112 of the Mogao Grottoes. The  experimental results demonstrate the effectiveness and superiority of GD-Net.

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    Surveys on line drawing simplification for Chinese cultural computing
    The Journal of China Universities of Posts and Telecommunications    2022, 29 (2): 33-42.   DOI: 10. 19682/ j. cnki. 1005-8885. 2022. 0014
    Abstract367)      PDF       Save
    In the recent decade, many approaches of rough line drawing simplification were proposed, but they are not well summarized yet, especially from the perspective of Chinese cultural computing. In this paper, a comprehensive review of existing line drawing simplification methods was presented, including their algorithms, advantages/ disadvantages, inputs/ outputs, datasets and source codes, etc. For raster line drawings, related implification work was discussed according to four main categories: fitting-based methods, tracing-based methods, field-based methods, and learning-based methods. For vector line drawings, a deep investigation was introduced for two major steps of simplification: stroke grouping and stroke merging. Finally, conclusions were given, key challenges and future directions of line drawing simplification for Chinese traditional art were thoroughly discussed.
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