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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Information Processing and Management

ISSN

0306-4573

e-ISSN

1873-5371

Svazek periodika

59

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

nestrankovano

Kód UT WoS článku

000744117200002

EID výsledku v databázi Scopus

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