The developing of multimedia to make the video data to increase very quickly.So how to acquire the data that we want in a short time is a more important topic.
Shot change detection is the first step for latter operation like classification and annotations. There are two type of shot change, one is abrupt shot change and the other one is gradual transition. Dissolve is the one of gradual transition that often seen but hard to detection, so in the paper would to propose a robust method to solve this problem.
In this paper we use fractal orthonormal basis for our feature to compare frames in the video to the first frame of video, and use the quantification between those frames to draw a graph.
By analyzing the graph and the characteristic of dissolve in the graph we can locate the approximately the start frame and the end frame of the dissolve. But by the action of video camera or motion of object in frame we may obtained the inaccurate start frame or end frame of the dissolve. So we need to refine the more accurate start and end frame of the dissolve, and we will explain about this in Chapter 3-4
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-1013105-013356 |
| Date | 13 October 2005 |
| Creators | Li, Ming-ru |
| Contributors | Chung-nan Lee, John Y. Chiang, Wei-chih Hsu, Yun-lung Chang, Yuh-jue Chuang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1013105-013356 |
| Rights | campus_withheld, Copyright information available at source archive |
Page generated in 0.0021 seconds