Fusion of Deep Learning and Compressed Domain Features for Content-Based Image Retrieval

By Peizhong Liu, Jing-Ming Guo, Chih-Yi Wu, Danlin Cai. 2017

98 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

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. Xiaochun Cao
2. Yuting Zhang
3. Luo Wang
4. Jialie Shen
5. Xueming Qian
6. Shiv Ram Dubey

Citations in the corpus

• Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking (2020, background): “So, content-based image retrieval (CBIR) systems [6]–[8], [54], [63]–[65], which retrieve images by exemplar images, emerge.”
• Big Data Service Architecture: A Survey (2020, methodology): “In [63], an efficient image retrieval method was proposed, which improve the overall retrieval rate.”