Toward Affordable and Practical Home Context Recognition: –Framework and Implementation with Image-based Cognitive API–
To provide affordable context recognition for general households, this paper presents a novel technique that integrate image-based cognitive Application Program Interface (API) and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived by the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2019-11-01
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| Series: | International Journal of Networked and Distributed Computing (IJNDC) |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125924346/view |
| Summary: | To provide affordable context recognition for general households, this paper presents a novel technique that integrate image-based cognitive Application Program Interface (API) and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived by the API. We first present a framework that specifies a common workflow of the machine-learning-based home context recognition. We then propose a pragmatic method that implements the framework using the “image-as-a-document” approach. |
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| ISSN: | 2211-7946 |