Name
Abstract | ||
|---|---|---|
The paper presents a framework for automatic video region-of-interest determination based on a user attention model. A set of attempts on using video attention features and knowledge of applied media aesthetics are made. The three types of visual attention features used are intensity, color, and motion. Referring to aesthetic principles, these features are combined according to camera motion types on the basis of a newly proposed video analysis unit, frame-segment. We conduct subjective experiments on several kinds of video data and demonstrate the effectiveness of the proposed framework. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ISCAS.2005.1465313 | ISCAS (4) |
Keywords | Field | DocType |
video signal processing,applied media aesthetics,vision models,motion,color,user attention model,feature extraction,intensity,automatic video region-of-interest determination,video analysis unit,visual perception,frame-segment,video attention features,image colour analysis,image motion analysis,region of interest,psychology,visual system,robustness,digital images,computer science | Computer vision,Video post-processing,Computer science,Human visual system model,Motion compensation,Image processing,Feature extraction,Video tracking,Motion interpolation,Artificial intelligence,Video compression picture types | Conference |
ISSN | ISBN | Citations |
0271-4302 | 0-7803-8834-8 | 15 |
PageRank | References | Authors |
1.18 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-huang Cheng | 1 | 715 | 73.78 |
| Wei-ta Chu | 2 | 611 | 56.68 |
| Jin-hau Kuo | 3 | 116 | 10.87 |
| Ja-ling Wu | 4 | 1569 | 168.11 |