Name
Abstract | ||
|---|---|---|
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywords obtained from a network game are recycled through collaborative filtering techniques to retrieve images without analyzing actual image pixels. Experimental results show the proposed method outperforms a conventional content-based approach using support vector machine. The result was achieved by the combination of feedback data and keywords. Applications of the proposed scheme in query-by-text image retrieval is also discussed. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11526346_68 | CIVR |
Keywords | Field | DocType |
user feedbacks,content-free image retrieval,actual image pixel,conventional content-based approach,feedback data,proposed scheme,image retrieval,new content-free approach,accumulated user feedback data,query-by-text image retrieval,collaborative filtering,support vector machine | Computer vision,Relevance feedback,Collaborative filtering,Automatic image annotation,Information retrieval,Computer science,Support vector machine,Image processing,Image retrieval,Artificial intelligence,Pixel,Visual Word | Conference |
Volume | ISSN | ISBN |
3568 | 0302-9743 | 3-540-27858-3 |
Citations | PageRank | References |
6 | 0.76 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shingo Uchihashi | 1 | 431 | 41.70 |
| Takeo Kanade | 2 | 25073 | 4203.02 |