CASIA OpenIR
Deep semantic preserving hashing for large scale image retrieval
Zareapoor, Masoumeh1; Yang, Jie1; Jain, Deepak Kumar2; Shamsolmoali, Pourya1; Jain, Neha3; Kant, Surya4
Source PublicationMULTIMEDIA TOOLS AND APPLICATIONS
ISSN1380-7501
2019-09-01
Volume78Issue:17Pages:23831-23846
Corresponding AuthorZareapoor, Masoumeh(mzarea222@gmail.com) ; Yang, Jie(jieyang@sjtu.edu.cn)
AbstractHashing approaches have got a great attention because of its efficient performance for large-scale images. This paper, aims to propose a deep hashing method which can combines stacked convolutional autoencoder with hashing learning, where the input image hierarchically maps to the low dimensional space. The proposed method DCAH contains encoder-decoder, and supervisory sub-network, that generates a low dimensional binary code in a layer-wised manner of the deep conventional neural network. To optimizing the hash algorithm, we added some extra relaxations constraint to the objective function. In our extensive experiments on ultra-high dimensional image datasets, our results demonstrate that the decoder structure can improve the hashing method to preserve the similarities in hashing codes; also, DCAH achieves the best performance comparing to other states of the art approaches.
KeywordConvolutional auto-encoder Image hashing Image retrieval Deep learning Similarity search Learning to hash
DOI10.1007/s11042-018-5970-0
WOS KeywordITERATIVE QUANTIZATION ; PROCRUSTEAN APPROACH ; ALGORITHMS
Indexed BySCI
Language英语
Funding ProjectNSFC, China[61603171] ; 863 PlanChina[2015AA042308]
Funding OrganizationNSFC, China ; 863 PlanChina
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000482419900003
PublisherSPRINGER
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/27356
Collection中国科学院自动化研究所
Corresponding AuthorZareapoor, Masoumeh; Yang, Jie
Affiliation1.Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
3.Jaypee Univ Engn & Technol, Guna, India
4.India Inst Technol, Roorkee, Uttar Pradesh, India
Recommended Citation
GB/T 7714
Zareapoor, Masoumeh,Yang, Jie,Jain, Deepak Kumar,et al. Deep semantic preserving hashing for large scale image retrieval[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(17):23831-23846.
APA Zareapoor, Masoumeh,Yang, Jie,Jain, Deepak Kumar,Shamsolmoali, Pourya,Jain, Neha,&Kant, Surya.(2019).Deep semantic preserving hashing for large scale image retrieval.MULTIMEDIA TOOLS AND APPLICATIONS,78(17),23831-23846.
MLA Zareapoor, Masoumeh,et al."Deep semantic preserving hashing for large scale image retrieval".MULTIMEDIA TOOLS AND APPLICATIONS 78.17(2019):23831-23846.
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