Identification of Traditional Motifs using Convolutional Neural Networks

被引：0

作者：

Jurj, Sorin Liviu ^{[1
]}

Opritoiu, Flavius ^{[1
]}

Vladutiu, Mircea ^{[1
]}

机构：

[1] Politehn Univ Timisoara, Adv Comp Syst & Architectures ACSA Lab, Comp Sci & Engn Dept, 2 V Parvan Blvd, Timisoara 300223, Romania

来源：

2018 IEEE 24TH INTERNATIONAL SYMPOSIUM FOR DESIGN AND TECHNOLOGY IN ELECTRONIC PACKAGING (SIITME) | 2018年

关键词：

Deep Learning; Convolutional Neural Networks; Traditional Motifs; ResNet-50;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a design for identifying and classifying the Romanian traditional motifs found on 4 different categories (clothes, ceramics, carpets and painted eggs) by training a Convolutional Neural Network (CNN) model derived from the Residual Network (ResNet-50) architecture. We also implemented a system which can detect and identify through a webcam if the object in front of it contains a learned motif. Experimental results show that our neural network has an overall accuracy of 99.4% and a reduced webcam processing time.

引用

页码：191 / 196

页数：6

共 50 条

[41] A new method for human activity identification using convolutional neural networks
Prakash, P.S.
Balakrishnan, S.
Venkatachalam, K.
Balasubramanian, Saravana Balaji
[J]. International Journal of Cloud Computing, 2023, 12 (2-4) : 191 - 200
[42] Image Source Identification Using Convolutional Neural Networks in IoT Environment
Wang, Yan
Sun, Qindong
Rong, Dongzhu
Li, Shancang
Xu, Li Da
[J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
[43] Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting
Bhatt, Prakruti
Sarangi, Sanat
Shivhare, Anshul
Singh, Dineshkumar
Pappula, Srinivasu
[J]. ICPRAM: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, 2019, : 894 - 899
[44] Early detection and identification of grape diseases using convolutional neural networks
RajinderKumar M. Math
Nagaraj V. Dharwadkar
[J]. Journal of Plant Diseases and Protection, 2022, 129 : 521 - 532
[45] Deep Convolutional Neural Networks for Motion Instability Identification using Kinect
Leightley, Daniel
Mukhopadhyay, Subhas C.
Ghayvat, Hemant
Yap, Moi Hoon
[J]. PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017, 2017, : 310 - 313
[46] Identification of Tomato Leaf Diseases Using Deep Convolutional Neural Networks
Singh, Ganesh Bahadur
Rani, Rajneesh
Sharma, Nonita
Kakkar, Deepti
[J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS, 2021, 12 (04)
[47] Influence of image quality on the identification of psyllids using convolutional neural networks
Barbedo, Jayme G. A.
Castro, Guilherme B.
[J]. BIOSYSTEMS ENGINEERING, 2019, 182 : 151 - 158
[48] Trash and Recycled Material Identification using Convolutional Neural Networks (CNN)
Sultana, Rumana
Adams, Robert D.
Yan, Yanjun
Yanik, Paul M.
Tanaka, Martin L.
[J]. IEEE SOUTHEASTCON 2020, 2020,
[49] Improving the identification of haploid maize seeds using convolutional neural networks
Sabadin, Felipe
Galli, Giovanni
Borsato, Ronaldo
Gevartosky, Raysa
Campos, Gabriela Romero
Fritsche-Neto, Roberto
[J]. CROP SCIENCE, 2021, 61 (04) : 2387 - 2397
[50] Personal Identification Using Gait Spectrograms and Deep Convolutional Neural Networks
Jung, Dawoon
Mau Dung Nguyen
Arshad, Muhammad Zeeshan
Kim, Jinwook
Mun, Kyung-Ryoul
[J]. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 6899 - 6904

← 1 2 3 4 5 →