Name
Abstract | ||
|---|---|---|
In this paper, a new content-based image retrieval approach is proposed based on high-dimensional information theory. The proposed approach overcomes the disadvantages of the current content-based image retrieval algorithms that suffer from the semantic gap. First, we present a new multidimensional information space’s vector angle cosine algorithm of high-dimensional geometry, then, we provide a detailed description of our images retrieval method including proposal of an overlapping image block method and definition of a similarity degree between images on the non-dimensional information subspaces. Finally, experimental results show the higher retrieval efficiency of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s11432-014-5086-8 | SCIENCE CHINA Information Sciences |
Keywords | DocType | Volume |
image retrieval,feature extraction | Journal | 57 |
Issue | ISSN | Citations |
7 | 1869-1919 | 8 |
PageRank | References | Authors |
0.40 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenming Cao | 1 | 135 | 37.98 |
| liu ning | 2 | 8 | 0.40 |
| kong qicong | 3 | 8 | 0.40 |
| Hao Feng | 4 | 409 | 32.15 |