An Effective Content Based Image Retrieval System Using Deep Learning Based Inception Model

Author:

Ranjith E.,Parthiban Latha,Latchoumi T. P.,Kumar S. AnandaORCID,Perera Darshika G.,Ramaswamy Sangeetha

Publisher

Springer Science and Business Media LLC

Reference31 articles.

1. Kanimozhi, T., Latha, K., (2013). A Meta-heuristic optimization approach for content based image retrieval using relevance feedback method. In: Proceedings of the World Congress on Engineering 2013 London, U.K.

2. Yang, X.-S. (2010). Firefly algorithm, stochastic test functions and design optimisation. International Journal of Bio-Inspired Computation, 2, 78–84.

3. Feng, J., Mingjing, L., Hong-Jiang, Z., & Bo, Z. (2004). Relevance feedback in region-based image retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 14, 672–681.

4. Alsmadi, M., Omar, K., & Almarashdeh, I., (2012). Fish classification: fish classification using memetic algorithms with back propagation classifier. LAP Lambert Academic Publishing.

5. Chuech-Yu, L., Ming-Chou, S., & Chiou-Ting, H. (2004). Image retrieval with relevance feedback based on graph-theoretic region correspondence estimation. In: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, vol. 3, 2004, pp. 842–845.

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