Paper
6 July 2015 Design and implementation of semantics-based image retrieval system
Chundi Ni, Shenkui Liu, Ligong Pan, Xiaowei Yin
Author Affiliations +
Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96310W (2015) https://doi.org/10.1117/12.2197236
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States
Abstract
Through the study of the existing image retrieval technology, in this paper, a new design scheme of semantics-based image retrieval system is presented. Based on the establishment of mapping relationship between the low-level image features and the low layer of semantic image, this scheme associates the low layer of semantic image with high-level semantics, thus realizing hierarchical semantics description structure, to improve the high-level semantic image recognition accuracy rate.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chundi Ni, Shenkui Liu, Ligong Pan, and Xiaowei Yin "Design and implementation of semantics-based image retrieval system", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310W (6 July 2015); https://doi.org/10.1117/12.2197236
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KEYWORDS
Image retrieval

Feature extraction

Visualization

Image classification

RGB color model

Classification systems

Digital imaging

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