Name
Title | ||
|---|---|---|
Hierarchical Visual Perception and Two-Dimensional Compressive Sensing for Effective Content-Based Color Image Retrieval. |
Abstract | ||
|---|---|---|
BackgroundAlthough content-based image retrieval (CBIR) has been an active research theme in the computer vision community for over two decades, there are still challenging problems in properly understanding the process in feature extraction and image matching. Consequently, significant research is still required to develop solutions for practical applications, especially in exploring and making the best using of the cognitive aspects of the human vision system. |
Year | DOI | Venue |
|---|---|---|
2016 | https://doi.org/10.1007/s12559-016-9424-6 | Cognitive Computation |
Keywords | Field | DocType |
Hierarchical visual perception,Two-dimensional compressive sensing (2D CS),Content-based image retrieval (CBIR) | Computer vision,Automatic image annotation,Machine vision,Computer science,Image retrieval,Feature extraction,Artificial intelligence,Color vision,Visual perception,Machine learning,Content-based image retrieval,Visual Word | Journal |
Volume | Issue | ISSN |
8 | 5 | 1866-9956 |
Citations | PageRank | References |
14 | 0.73 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. Zhou | 1 | 163 | 37.69 |
| Fan-Zhi Zeng | 2 | 14 | 0.73 |
| Huimin Zhao | 3 | 206 | 23.43 |
| Paul Murray | 4 | 28 | 5.47 |
| Jinchang Ren | 5 | 1144 | 88.54 |