|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM150512961 |
| 003 |
DE-627 |
| 005 |
20231223054020.0 |
| 007 |
tu |
| 008 |
231223s2004 xx ||||| 00| ||eng c |
| 028 |
5 |
2 |
|a pubmed24n0502.xml
|
| 035 |
|
|
|a (DE-627)NLM150512961
|
| 035 |
|
|
|a (NLM)15376884
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Greenspan, Hayit
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Probabilistic space-time video modeling via piecewise GMM
|
| 264 |
|
1 |
|c 2004
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 12.10.2004
|
| 500 |
|
|
|a Date Revised 10.12.2019
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a In this paper, we describe a statistical video representation and modeling scheme. Video representation schemes are needed to segment a video stream into meaningful video-objects, useful for later indexing and retrieval applications. In the proposed methodology, unsupervised clustering via Gaussian mixture modeling extracts coherent space-time regions in feature space, and corresponding coherent segments (video-regions) in the video content. A key feature of the system is the analysis of video input as a single entity as opposed to a sequence of separate frames. Space and time are treated uniformly. The probabilistic space-time video representation scheme is extended to a piecewise GMM framework in which a succession of GMMs are extracted for the video sequence, instead of a single global model for the entire sequence. The piecewise GMM framework allows for the analysis of extended video sequences and the description of nonlinear, nonconvex motion patterns. The extracted space-time regions allow for the detection and recognition of video events. Results of segmenting video content into static versus dynamic video regions and video content editing are presented
|
| 650 |
|
4 |
|a Comparative Study
|
| 650 |
|
4 |
|a Evaluation Study
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 650 |
|
4 |
|a Validation Study
|
| 700 |
1 |
|
|a Goldberger, Jacob
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Mayer, Arnaldo
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 26(2004), 3 vom: 24. März, Seite 384-96
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
|
| 773 |
1 |
8 |
|g volume:26
|g year:2004
|g number:3
|g day:24
|g month:03
|g pages:384-96
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 26
|j 2004
|e 3
|b 24
|c 03
|h 384-96
|