Name
Title | ||
|---|---|---|
Intelligent Concept-Oriented And Content-Based Image Retrieval By Using Data Mining And Query Decomposition Techniques |
Abstract | ||
|---|---|---|
Traditional image retrieval based on visual-based matching is not effective in multimedia applications. Consequently, the modeling of high-level human sense for image retrieval has been a challenging issue over the past few years. In fact, the concepts hidden in the images play key roles in semantic image retrieval. In this paper, we propose a novel method named Intelligent Concept-oriented Search (ICOS) that can capture the high-level concepts in images by utilizing data mining and query decomposition techniques. The contributions of the proposed method lie in that we provide: 1) effective annotation for conceptual objects, 2) association mining for conceptual objects, 3) visual ranking for conceptual objects and 4) intelligent search method for enhancing high-level concept image retrieval. Through experimental evaluations, ICOS is shown to be very effective and efficient in capturing the implicit high-level concepts for image retrieval. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICME.2008.4607674 | 2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4 |
Keywords | Field | DocType |
content-based image retrieval, data mining, concept-oriented search, query decomposition | Data mining,Computer science,Image retrieval,Image segmentation,Artificial intelligence,Computer vision,Automatic image annotation,Information retrieval,Ranking,Visualization,Association rule learning,Content-based image retrieval,Visual Word | Conference |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincent S. Tseng | 1 | 2923 | 161.33 |
| Ja-Hwung Su | 2 | 329 | 24.53 |
| Hao-hua Ku | 3 | 1 | 0.36 |
| Bo-Wen Wang | 4 | 66 | 3.58 |