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Dynamic Texture Similarity Criterion
- Source :
- ICPR
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Dynamic texture similarity ranking is a challenging and still unsolved problem. Evaluation of how well are various dynamic textures similar to humans perception view is extremely difficult even for static textures and requires tedious psychophysical experiments. Human perception principles are largely not understood yet and the dynamic texture perception is further complicated with a distinct way of perceiving spatial and temporal domains, which complicates any similarity criterion definition. We propose a novel dynamic texture criterion based on the Fourier transformation and properties of dynamic texture spatio-temporal frequencies. The presented criterion correlates well with performed psycho-physical tests while maintaining sufficient diversity and descriptiveness.
- Subjects :
- Computer science
business.industry
media_common.quotation_subject
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020206 networking & telecommunications
Pattern recognition
02 engineering and technology
Texture perception
Texture (geology)
Visualization
Ranking (information retrieval)
symbols.namesake
Similarity criterion
Fourier transform
Similarity (network science)
Perception
0202 electrical engineering, electronic engineering, information engineering
symbols
020201 artificial intelligence & image processing
Artificial intelligence
business
ComputingMethodologies_COMPUTERGRAPHICS
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 24th International Conference on Pattern Recognition (ICPR)
- Accession number :
- edsair.doi...........b238626c55431473e0ef5af7c7a2e2c7
- Full Text :
- https://doi.org/10.1109/icpr.2018.8545370