Abstract
In recent years, fusion studies such as context-aware, multimedia contents and cloud computing in information technology (IT) have been on the rise through the technological development of hardware and software. The automatic context-aware technology using multimedia image data requires high computation. Cloud computing has played a role in meeting the requirements of high computation. The automatic context-aware technology utilizing previously developed multimedia image data has lacked user-defined semantic inference capabilities considerably. This paper proposes a Semantic Image Processing Mechanism for Automatic Context-Aware (SIPM-ACA) based on cloud computing. Semantic inference is done through user-created multimedia contents images. Image’s semantics are verified by analyzing texts created by other users. Content-Based Image Retrieval (CBIR) is utilized to find the relationship between image similarities. Through this, proactive context-awareness according to user’s context can be inferenced.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2053564). And also this research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-H8501-15-1014) supervised by the IITP (Institute for Information and communications Technology Promotion).
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Han, SH., Kim, HW., Park, BK., Heo, YA., Jeong, YS. (2016). Efficient Semantic Image Processing Mechanism for Automatic Context-Aware Based on Cloud Infrastructure. In: Park, J., Jin, H., Jeong, YS., Khan, M. (eds) Advanced Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 393. Springer, Singapore. https://doi.org/10.1007/978-981-10-1536-6_44
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DOI: https://doi.org/10.1007/978-981-10-1536-6_44
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