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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li, Y. Dorai, C. |
| Copyright Year | 2005 |
| Description | Author affiliation: IBM Thomas J. Watson Res. Center, Hawthorne, NY (Li, Y.; Dorai, C.) |
| Abstract | This paper presents our latest work on identifying frame content types for understanding learning media content. In particular, we categorize frames into six classes namely, slide, Web-page, instructor, audience, picture-in-picture and miscellaneous, which make up salient narrative modes in learning videos. Various image and video analysis approaches are explored to achieve this task. Preliminary experiments carried out on three recorded seminars have yielded encouraging results. The identification of fine-grained visual content types can assist us in content understanding, access, browsing and searching of generic learning videos |
| Starting Page | 1488 |
| Ending Page | 1491 |
| File Size | 245036 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780393317 |
| DOI | 10.1109/ICME.2005.1521714 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-07-06 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Educational programs Face recognition Character recognition Histograms Seminars Electronic learning Industrial training Image analysis Educational institutions Internet |
| Content Type | Text |
| Resource Type | Article |
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