• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts’ Visual Knowledge in Smart Factories


Eun-Bi Cho, Dinh-Lam Pham, Kyung-Hee Sun, Kwanghoon Pio Kim, Journal of Internet Computing and Services, Vol. 25, No. 2, pp. 101-111, Apr. 2024
10.7472/jksii.2024.25.2.101, Full Text:
Keywords: Smart Factory, Working Knowledge, Tangible Asseits of Experts’ Knowledge, Deep-Learning Neural Network Moddls and Frameworks, CCTV-Video Object-Contexualization

Abstract

In this paper, we propose a concpetual architecture and its implementation approach for contextualizing unstructured CCTV-video frame data into structured XML-video textual data by using the deep-learning neural network models and frameworks. Conclusively, through the conceptual architecture and the implementation approach proposed in this paper, we can eventually realize and implement the so-called sharable working and experiencing knowledge management platforms to be adopted to smart factories in various industries.


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Cite this article
[APA Style]
Cho, E., Pham, D., Sun, K., & Kim, K. (2024). A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts’ Visual Knowledge in Smart Factories. Journal of Internet Computing and Services, 25(2), 101-111. DOI: 10.7472/jksii.2024.25.2.101.

[IEEE Style]
E. Cho, D. Pham, K. Sun, K. P. Kim, "A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts’ Visual Knowledge in Smart Factories," Journal of Internet Computing and Services, vol. 25, no. 2, pp. 101-111, 2024. DOI: 10.7472/jksii.2024.25.2.101.

[ACM Style]
Eun-Bi Cho, Dinh-Lam Pham, Kyung-Hee Sun, and Kwanghoon Pio Kim. 2024. A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts’ Visual Knowledge in Smart Factories. Journal of Internet Computing and Services, 25, 2, (2024), 101-111. DOI: 10.7472/jksii.2024.25.2.101.