Image retrieval based on micro-structure descriptor

By Guanghai Liu, Zuoyong Li, Lei Zhang, Yong Xu. Pattern Recognition, 2011

340 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/7b1ffe769ff5f480757edfa9dbd0b98921c8dc68

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Rania Kora
2. Ammar Mohammed
3. Guanghai Liu
4. Jing-yu Yang
5. Lei Zhang
6. Meng Yang

In Media Technology

1. Rania Kora
2. Ammar Mohammed
3. Guanghai Liu
4. Jing-yu Yang

Citations in the corpus

• Content-based image retrieval using color difference histogram (2013, background): “Some algorithms can ultimately combine color and texture together; these include integrative co-occurrence matrices [16], the texton co-occurrences matrix [17], the multi-texton histogram [18], the color edge co-occurrence histogram [19], and the micro-structure descriptor [20].”
• A comprehensive review on ensemble deep learning: Opportunities and challenges (2023, methodology): “In the image classification domain, the researchers in Wang et al. (2013) applied voting based on SVM for image retrieval using COREL images database (Liu et al., 2011).”