SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices

doi:10.1109/ACCESS.2019.2941239

CASIA OpenIR > 智能感知与计算研究中心

	SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices
	Wang, Zhenyu 1; Lian, Jie 1; Song, Chunfeng2 ; Zhang, Zhaoxiang2 ; Zheng, Wei 1; Yue, Shaolong 1; Ji, Senrong 1
发表期刊	IEEE ACCESS
ISSN	2169-3536
	2019
卷号	7 页码:135563-135572
通讯作者	Wang, Zhenyu(zywang@ncepu.edu.cn)
摘要	Artwork recognition is an important research direction in the field of image processing. However, most of the current proposed methods are not designed for the demand of real-time analysis with mobile devices. Moreover, existing methods usually rely on high quality images and require large amounts of computing consumption. Based on the deep learning technology, in this paper, we propose a Smart Art System (SAS) with mobile devices. Our SAS mainly consists of two parts, i.e., painting detection unit and recognition unit. The detection module adopts a new painting detection algorithm called Single Shot Detection with Painting Landmark Location (SSD-PLL). SSD-PLL can effectively eliminate the influence of complex background factors on recognition. Considering the limited computing capacity of the mobile devices, our recognition module adopts a new ultra-light painting classifier. The classifier adopts MobileNet as the backbone and owns extra operation for Local Features Fusion (LFF). With our SAS, users can use mobile phone to take a photo of any paintings, then SAS would analyze the paintings and report the relevant information in real time. In order to validate the effectiveness of the proposed method, we have established two large scale image databases. The databases include 7,500 Traditional Chinese paintings (TCPs) and 8,800 Oil paintings (OPs), respectively. We evaluate our method and compare with the relevant algorithms, and our method achieves the highest performance and better real-time performance. Extensive experimental results on these databases show the effectiveness of the proposed algorithm.
关键词	Mobile devices deep learning painting detection and recognition
DOI	10.1109/ACCESS.2019.2941239
关键词[WOS]	CLASSIFICATION ; NETWORKS
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61976090] ; National Natural Science Foundation of China[61573139] ; Fundamental Research Funds for the Central Universities[2018ZD05] ; National Natural Science Foundation of China[61976090] ; National Natural Science Foundation of China[61573139] ; Fundamental Research Funds for the Central Universities[2018ZD05]
项目资助者	National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000498680900012
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/29366
专题	智能感知与计算研究中心
通讯作者	Wang, Zhenyu
作者单位	1.North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zhenyu,Lian, Jie,Song, Chunfeng,et al. SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices[J]. IEEE ACCESS,2019,7:135563-135572.
APA	Wang, Zhenyu.,Lian, Jie.,Song, Chunfeng.,Zhang, Zhaoxiang.,Zheng, Wei.,...&Ji, Senrong.(2019).SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices.IEEE ACCESS,7,135563-135572.
MLA	Wang, Zhenyu,et al."SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices".IEEE ACCESS 7(2019):135563-135572.