Microstructure pattern extraction based image retrieval
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08113-y.pdf
Reference41 articles.
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2. Brahmaiah Naik J et al (2017) Local vector pattern with global index angles for a content-based image retrieval system. J Assoc Inf Sci Technol 68:2755–2770. https://doi.org/10.1002/asi.23907
3. Bui T et al (2017) Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Comput Vis Image Underst 164:27–37. https://doi.org/10.1016/j.cviu.2017.06.007
4. Datta R et al (2008) Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys (Csur) 40:5. https://doi.org/10.1145/1348246.1348248
5. de Ves E et al (2016) A novel dynamic multi-model relevance feedback procedure for content-based image retrieval. Neurocomputing 208:99–107. https://doi.org/10.1016/j.neucom.2016.02.073
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