Name
Abstract | ||
|---|---|---|
With digital still cameras, users can easily collect thousands of photos. We have created a photo management application with the goal of making photo organization and browsing simple and quick, even for very large collections. A particular concern is the manage-ment of photos depicting people. We present a semi-automatic approach designed to facilitate the task of labeling photos with people that opportunistically takes advantage of the strengths of current state-of-the-art technology in face detection and recognition. In particular, an accurate face detector is used to automatically extract faces from photos while the less accurate face recog-nizer is used not to classify the detected faces, but to sort faces by their similarity to a chosen model. The sorted faces are presented as candidates within a user interface designed for quick and easy face labeling. We present results of a simulation of the usage model that demonstrate the improved ease that is achieved by our method |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1026711.1026728 | Multimedia Information Retrieval |
Keywords | Field | DocType |
easy face,face detection,accurate face detector,leveraging face recognition technology,present result,photo organization,chosen model,accurate face recog-nizer,photo management application,usage model,particular concern,user interface design,face recognition | Facial recognition system,Computer science,sort,Face detection,User interface design,User interface,Multimedia,Usage model,Detector | Conference |
ISBN | Citations | PageRank |
1-58113-940-3 | 34 | 2.25 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Girgensohn | 1 | 1724 | 185.73 |
| John Adcock | 2 | 212 | 21.30 |
| Lynn Wilcox | 3 | 1330 | 180.16 |