• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
Donggu Kang, 2021, An extended ontology automatic construction mechanism using a Deep learning model in Story video content, CICS'2021 Conference on Information and Control Systems, pp. 442-443Google Search
2 
Hyunjoo Kim, 2006, A Semantic Web-enabled Woo System for Ontology Construction and Sharing, Journal of KIISE, Vol. 33, No. 8, pp. 703-705Google Search
3 
In K. Lee, 2007, Ontology-based Image Understanding Systems, Journal of Fuzzy Logic and Intelligent Systems, Vol. 17, No. 3, pp. 328-335DOI
4 
Hyesun Suh, 2022, A Core Region Captioning Framework for Automatic Video Understanding in Story Video Contents, International Journal of Engineering Business Management, Vol. 14, pp. 1-11DOI
5 
Boris Knyazev, 2020, Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation, arXiv, cs.CV, 2005.08230v2Google Search
6 
X.l Chen, 2015, Microsoft coco captions: Data collection and evaluation server, arXiv preprint arXiv:1504.00325Google Search
7 
Daniele Porello, 2015, Integrating Ontologies and Computer Vision for Classification of Objects in Images, Neural-Cognitive Integration, pp. 1-15Google Search
8 
Dong-Jin Kim, 2019, Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning, arXiv, cs.CV, 903.05942v4Google Search
9 
Justin Johnson, 2015, DenseCap: Fully Convolutional Localization Networks for Dense Captioning, arXiv, cs.CV, 1511.07571v1Google Search
10 
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, M. S. Bernstein, 2017, Visual genome: Connecting language and vision using crowdsourced dense image annotations, International journal of computer vision, Vol. 123, No. 1, pp. 32-73DOI
11 
N. Dalal, B. Triggs, 2005, Histograms of oriented gradients for human detection., 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05), Vol. 1, pp. 886-893DOI
12 
B. A. Plummer, 2015, Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models, In Proceedings of the IEEE international conference on computer vision, pp. 2641-2649Google Search
13 
M. Tan, Q. V. Le, 2019, Efficientnet: Rethinking model scaling for convolutional neural networks, arXiv preprint arXiv:1905.11946Google Search
14 
Huang Yanping, 2019, GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism, arXiv, cs.CV, 1811.06965v5Google Search
15 
P. Young, 2014, From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions, Transactions of the Association for Computational Linguistics, Vol. 2, pp. 67-78DOI
16 
https://en.wikipedia.org/wiki/DBSCAN,
17 
https://en.wikipedia.org/wiki/Web_Ontology_Language,
18 
https://en.wikipedia.org/wiki/Resource_Description_Framework,
19 
https://en.wikipedia.org/wiki/Apache_Jena,
20 
https://https://protege.stanford.edu/,