Predictive intelligence in evaluation of visual perception thresholds for visual pattern recognition and understanding

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10251961" target="_blank" >RIV/61989100:27240/22:10251961 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0306457322000012?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0306457322000012?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ipm.2022.102865" target="_blank" >10.1016/j.ipm.2022.102865</a>

Result language
angličtina
Original language name
Predictive intelligence in evaluation of visual perception thresholds for visual pattern recognition and understanding
Original language description
This paper will present how predictive evaluation can be applied in research on specifying perception thresholds in cognitive approach to understanding images. This approach will be based on predictive methods with cognitive inference for threshold re-production for image patterns. In particular, two basic parameters having an impact on perception thresholds evaluation, i.e. knowledge and expectations will be taken into consideration. These are the very important parameters on which perception thresholds depend. They can become lower with attempts to identify correctly or understand images by an observer, who has in-depth topical knowledge and far-going expectations concerning the image content.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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