Author:
Hussain Saddam,Zia Muhammad Ahmad,Arshad Waqas
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference55 articles.
1. Convolution, approximation and spatial information based object and color signatures for content based image retrieval;Ahmed,2019
2. Content based image retrieval using image features information fusion;Ahmed;Information Fusion,2019
3. Alfanindya, A., Hashim, N. Eswaran, C. (2013). Content based image retrieval and classification using speeded-up robust features (surf) and grouped bag-of-visual-words (gbovw). In 2013 International conference on technology, informatics, management, engineering and environment (pp. 77–82). IEEE.
4. Anandh, A., Mala, K. & Suganya, S. (2016). Content based image retrieval system based on semantic information using color, texture and shape features. In 2016 International conference on computing technologies and intelligent data engineering (ICCTIDE’16) (pp. 1–8). IEEE.
5. Ashraf, R., Ahmed, M., Ahmad, U., Habib, M. A., Jabbar, S. & Naseer, K. (2018). Mdcbir-mf: Multimedia data for content-based image retrieval by using multiple features. Multimedia Tools and Applications, 1–27.
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