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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghosh, N. Bhanu, B. |
| Copyright Year | 2006 |
| Description | Author affiliation: Center for Res. in Intelligent Syst., California Univ., Riverside, CA (Ghosh, N.; Bhanu, B.) |
| Abstract | Extracting key-frames is the first step for efficient content-based indexing, browsing and retrieval of the video data in commercial movies. Most of the existing research deals with "how to extract representative frames?" However the unaddressed question is "how many key-frames are required to represent a video shot properly?" Generally, the user defines this number a priori or some heuristic methods are used. In this paper, we propose a psychological model, which computes this number adaptively and online, from variation of visual features in a video-shot. We incorporate it with an iterative key-frame selection method to automatically select the key-frames. We compare the results of this method with two other well-known approaches, based on a novel effectiveness measure that scores each approach based on its representational power. Movie-clips of varying complexity are used to underscore the success of the proposed model in real-time |
| Sponsorship | IEEE CPS |
| Starting Page | 346 |
| Ending Page | 349 |
| File Size | 588208 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.156 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Psychology Motion pictures Humans Visual perception Data mining Iterative methods Feature extraction Videoconference Frequency Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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