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논문 기본 정보

자료유형
학술저널
저자정보
Seungmin Rho (Sungkyul University)
저널정보
ICT플랫폼학회 JOURNAL OF PLATFORM TECHNOLOGY JOURNAL OF PLATFORM TECHNOLOGY Vol.5 No.4
발행연도
2017.12
수록면
27 - 39 (13page)

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초록· 키워드

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Modern wireless visual sensor networks are a large collection of inexpensive computational sensor nodes. These nodes continuously capture images from the environment and, then, process, store, and transmit the images to one or more servers. Visual data gathered by these networks grow exponentially and present many challenges concerning their transmission, storage, and retrieval. Recent advances in sensor node architectures resulted in enhanced processing capabilities and extended local storage has created new opportunities for innovative applications of these network platforms. Visual sensor networks have emerged as inexpensive and powerful but resource constrained distributed systems. In this paper, we present a framework for distributed image search, utilizing the processing, storage, and transmission capabilities of individual sensor nodes in an efficient manner. Every sensor acts as a selfcontained smart node that can prioritize captured images, extract and store discriminative and compact features from those images, and perform searching. The proposed system is evaluated for two large and challenging datasets. Results report significant improvements in both performance and efficiency over other state-of-the-art methods.

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Abstract
1. Introduction
2. Related Works
3. Materials and Methods
4. Results and Discussions
5. Conclusion and Feature Directions
6. References

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