Earticle

초록

영어

Visual object recognition has been growing quickly in the field of computer science, as it can be applied to such diverse areas as robotics, smartphones, and artificial intelligence. Although there have been a countless number of researches and methods to develop an effective visual object recognition software, there have been only few attempts to combine visual object recognition with data science. Data science analyzes large volumes of data in different forms and derives useful information from the results. In the experiment, this study developed a specific method to generate sentences that describe what’s happening in a picture by combining visual object recognition software with text mining technologies. This study utilizes CamFind to identify a number of objects in a picture and applies NodeXL from Microsoft Excel to obtain online data from Twitter, a social network service. Information from the analysis of texts induced from objects is used to make stories for the whole image.

목차

Abstract
1. INTRODUCTION
2. LITERATURE REVIEW
3. SUGGESTED METHODS AND PROCEDURES
4. EXPERIMENTAL RESULTS
5. DISCUSSION ON THE RESULTS
6. CONCLUSION
REFERENCES

저자

• Minjae Kim [ Researcher, Department of Ophthalmology, The Hamilton Eye Institute, The University of Tennessee Health Science Center, Memphis, Tennessee, USA ]
• Jinho Kim [ Professor, School of Business, University of Houston, Houston, Texas, USA ]
• Gayoung Park [ Professor, School of Mathematics & Statistics, Old Dominion University, Nopork, Virginia, USA ]
• Jinhwa Kim [ Professor, School of Business, Sogang University, Seoul, South Korea ] Corresponding Author

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