Recent Trends and Techniques of CBIR to Enhance Retrieval Performance
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7985-8_91
Reference43 articles.
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2. Xu W, Wu S, Er MJ, Zheng C, Qiu Y (2017) New non-negative sparse feature learning approach for content-based image retrieval. IET Image Proc 11:724–733. https://doi.org/10.1049/iet-ipr.2016.0726
3. Tyagi V (2017) Content-based Image retrieval techniques. A Review. https://doi.org/10.1007/978-981-10-6759-4_2
4. Upadhyaya N, Dixit M, Pradesh M (2016) A review: relating low level features to high level semantics in CBIR. Int J Signal Process Image Process Pattern Recogn 9:433–444. https://doi.org/10.14257/ijsip.2016.9.3.37
5. Masood A, Alyas Shahid M, Sharif M (2018) Content-based image retrieval features: a survey. Int J Adv Netw Appl 10:3741–3757. https://doi.org/10.35444/ijana.2018.100111
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