The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Temporal texture modeling
Open accessAbstract
Temporal textures are textures with motion. Examples include wavy water, rising steam and fire. We model image sequences of temporal textures using the spatio-temporal autoregressive model (STAR). This model expresses each pixel as a linear combination of surrounding pixels lagged both in space and in time. The model provides a base for both recognition and synthesis. We show how the least squares method can accurately estimate model parameters for large, causal neighborhoods with more than 1000 parameters. Synthesis results show that the model can adequately capture the spatial and temporal characteristics of many temporal textures. A 95% recognition rate is achieved for a 135 element database with 15 texture classes.
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Cites
Texture classification and segmentation using multiresolution simultaneous autoregressive models
Mao, J., & Jain, A. K. (1992) · Pattern Recognition · doi:10.1016/0031-3203(92)90099-5 · Cited by 648
A Three-Stage Iterative Procedure for Space-Time Modeling
Pfeifer, P. E., & Deutsch, S. J. (1980) · Technometrics · doi:10.2307/1268381 · Cited by 351
Qualitative recognition of motion using temporal texture
Nelson, R. C., & Polana, R. (1992) · CVGIP Image Understanding · doi:10.1016/1049-9660(92)90087-j · Cited by 154
Cited by
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
Zhao, G., & Pietikainen, M. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1110 · Cited by 2,846
MoCoGAN: Decomposing Motion and Content for Video Generation
Tulyakov, S., Liu, M.-Y., Yang, X., & Kautz, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00165 · Cited by 1,076
Graphcut textures: image and video synthesis using graph cuts
Kwatra, V., Schödl, A., Essa, I., Turk, G., & Bobick, A. (2003) · ACM Transactions on Graphics · doi:10.1145/882262.882264 · Cited by 787
Spatiotemporal Autoregressive Models of Neighborhood Effects
Pace, R. K., Barry, R., Clapp, J. M., & Rodriquez, M. (1998) · The Journal of Real Estate Finance and Economics · doi:10.1023/a:1007799028599 · Cited by 320
On clustering and retrieval of video shots through temporal slices analysis
Ngo, C.-W., Pong, T.-C., & Zhang, H.-J. (2002) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2002.802022 · Cited by 118
Metadata
- Authors
- Szummer, M., & Picard, R. W.
- Venue
- Proceedings of 3rd IEEE International Conference on Image Processing
- Publisher
- IEEE
- Published
- 2002-12-23
- Volume
- 3
- Pages
- 823-826
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2127541232
- Cited by
- 316
- References
- 3
- FWCI
- 10.86
- Type
- conference paper
- Language
- en
- Open access
- green
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- Szummer, M., & Picard, R. W. (2002). Temporal texture modeling. Proceedings of 3rd IEEE International Conference on Image Processing. https://doi.org/10.1109/icip.1996.560871
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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