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

文献类型：期刊论文

作者Wang, Zhenyu2; Lian, Jie2; Song, Chunfeng1; Zhang, Zhaoxiang1; Zheng, Wei2; Yue, Shaolong2; Ji, Senrong2
刊名IEEE ACCESS
出版日期2019
卷号7页码:135563-135572
关键词Mobile devices deep learning painting detection and recognition
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2941239
通讯作者Wang, Zhenyu(zywang@ncepu.edu.cn)
英文摘要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.
WOS关键词CLASSIFICATION ; NETWORKS
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]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000498680900012
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
源URL[http://ir.ia.ac.cn/handle/173211/29365]  
专题自动化研究所_智能感知与计算研究中心
通讯作者Wang, Zhenyu
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, 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.

入库方式： OAI收割

来源：自动化研究所

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