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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kamberov, G. Burlick, M. Karydas, L. Koteogou, O. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA (Burlick, M.; Karydas, L.; Koteogou, O.) || Dept. of Math., Univ. of Alaska, Anchorage, AK, USA (Kamberov, G.) |
| Abstract | The analysis of videos taken by active operators recording human interactions and activities in the field presents a new set of challenges. For brevity in this paper we will call such subject centric field grade videos ad hoc videos of events. Human test subjects readily segment ad hoc videos of events into scene-like segments. These segmentations can not be replicated by the state of the art automatic video segmentation algorithms. We propose and evaluate a method to segment ad hoc videos of events into atomic semantics units. Motivated by [Bel74] we call these units sub-scenes. Our experiments show that the segments detected by human subjects are sequences of sub-scenes. Thus the sub-scenes appear to be a semantic version of the video shots that are used to piece together scenes by state of the art video segmentation algorithms. |
| Starting Page | 1934 |
| Ending Page | 1939 |
| File Size | 426092 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.338 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Atmospheric measurements Particle measurements Frequency measurement Semantics Accuracy Detectors Cameras |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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