| Title | Co-histogram and its application in video analysis |
| Authors | Hao, Pengwei Chen, Ying |
| Affiliation | Center for Information Science, Peking University, Beijing, 100871, China Department of Computer Science, Queen Mary, University of London, London, E1 4NS, United Kingdom |
| Issue Date | 2004 |
| Citation | 2004 IEEE International Conference on Multimedia and Expo (ICME).Taipei, Taiwan,3(1543-1546). |
| Abstract | The tool for video analysis addressed in this paper is called co-histogram, which is a statistic graph generated by counting the corresponding pixel pairs of two images. A co-histogram shows how the pixels are distributed among combinations of two image pixel values. By means of co-histogram, we can have a visual perception of widely used metric, peak signal-to-noise ratio (PSNR), and the symmetry (or weighted symmetry) of a co-histogram is also good for video shot boundary detection and object entering-exiting detection. Co-histogram symmetry is insensitive to camera zooming, which is good for reducing false detection. Co-histogram symmetry is also easily-computable and directly-intercomparable. |
| URI | http://hdl.handle.net/20.500.11897/329088 |
| Indexed | EI |
| Appears in Collections: | 信息科学技术学院 |
