Abstract
Existing Content-based image retrieval technology is research the underlying vision. There are still non-consistency with high-level semantics. This paper give one system of image retrieval that can relieve the question above. In the system, using semantic automatic tagging and Chinese speech recognition research. It is implemented by Matlab software, implementation of human-computer interaction interface. Do the experiments for small quantities of image set, the result show that the system is feasible, and more humane and intelligent.
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Weiyan, L., Wenyan, W., Liu-Suqi (2013). The Design of Fusion Semantics Automatic Labeling and Speech Recognition Image Retrieval System. In: Du, Z. (eds) Proceedings of the 2012 International Conference of Modern Computer Science and Applications. Advances in Intelligent Systems and Computing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33030-8_35
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DOI: https://doi.org/10.1007/978-3-642-33030-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33029-2
Online ISBN: 978-3-642-33030-8
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