Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework

المؤلف

Xu, Hui

المصدر

Wireless Communications and Mobile Computing

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-12-07

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Hand drawing is an indispensable professional skill in the fields of environmental design, industrial design, architectural engineering, civil engineering, and other engineering design education.

Students usually imitate masterpieces to practice basic skills, which is an important link for a beginner.

A system for digital management requires a function for an automatic recommendation task of different brushwork skill expressions.

Thus, the classification method for brushwork is to combine hand-crafted features generated by DCNN and then use the final features for input to a tree structure classification scheme.

The method improvement of the other deep learning models has effectiveness in distinguishing art ontology attributes.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Xu, Hui. 2020. Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214701

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Xu, Hui. Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1214701

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Xu, Hui. Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214701

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1214701