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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ejaz, N. Mehmood, I. Ejaz, W. Baik, S.W. |
| Copyright Year | 2012 |
| Abstract | The efficient browsing and retrieval of videos is a fundamental part of current multimedia systems especially on mobile devices. One way to provide enjoyable video browsing to the users is by providing summaries of the videos whereby the users can have a clue of the contents of the video before watching the video itself. In this paper, we propose a key frame extraction based video summarization technique based on user attention modeling. Our technique builds static and dynamic attention models of human perception to predict those frames which are visually salient for the humans. For the static attention clue, we propose the multi-scale version of the information theory based attention modeling. For dynamic attention modeling, the motion intensity has been used. The experimental results and comparison with other techniques shows that the proposed technique yields efficient results. |
| Starting Page | 48 |
| Ending Page | 52 |
| File Size | 355039 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467325981 |
| ISSN | 21612889 |
| DOI | 10.1109/NGMAST.2012.47 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-12 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Visual Saliency Multimedia systems Humans Fusion Mechanism Video Summarization Vectors Visual Attention Model Video Summary Evaluation Dynamics Semantics Feature extraction Key Frame Extraction |
| Content Type | Text |
| Resource Type | Article |
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