Name
Abstract | ||
|---|---|---|
We propose a new "content-free" image retrieval method which attempts to exploit certain common tendencies that exist among people's interpretation of images from user feedbacks. The system simply accumulates records of user feedback and recycles them in the form of collaborative filtering. We discuss various issues of image retrieval, argue for the idea of content-free, and present results of experiment. The results indicate that the performance of content-free image retrieval improves with the number of accumalated feedbacks, outperforming a basic but typical conventional content-based image retrieval system. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICME.2005.1521682 | 2005 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), VOLS 1 AND 2 |
Keywords | Field | DocType |
information retrieval,image retrieval,labeling,feedback,visual perception,filtering,robots,collaboration,collaborative filtering | Computer vision,Collaborative filtering,Automatic image annotation,Information retrieval,Computer science,Image retrieval,Filter (signal processing),Exploit,Artificial intelligence,Robot,Visual perception,Visual Word | Conference |
Citations | PageRank | References |
3 | 0.43 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shingo Uchihashi | 1 | 431 | 41.70 |
| Takeo Kanade | 2 | 25073 | 4203.02 |