CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling
Gu, Jie1,2; Meng, Gaofeng1; Redi, Judith A.3; Xiang, Shiming1,2; Pan, Chunhong1
Source PublicationIEEE TRANSACTIONS ON MULTIMEDIA
2018-05-01
Volume20Issue:5Pages:1140-1153
SubtypeArticle
AbstractThis paper presents an effective method based on vector regression and object oriented pooling for blind image quality assessment. Unlike previous models that map the extracted features directly to a quality score, the proposed vector regression framework yields a vector of belief scores for the input image. We explore the uncertainty factors in quality assessment and design the belief scores to measure the confidences of an image to be assigned to the corresponding quality grades. Moreover, we propose an object oriented pooling strategy to further improve the performance by incorporating semantic information of image contents. According to this strategy, regions occupied by objects will be assigned more weights in the pooling phase, leading to a more accurate quality assessment. Extensive experiments on benchmark datasets demonstrate that our approach achieves state-of-the-art performance and shows a great generalization ability.
KeywordConvolutional Neural Network Image Quality Assessment Perceptual Image Quality Object Oriented Pooling Vector Regression
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TMM.2017.2761993
WOS KeywordPERCEPTUAL IMAGE ; STRUCTURAL SIMILARITY ; ASSESSMENT ALGORITHMS ; NEURAL-NETWORKS ; FRAMEWORK ; DATABASE ; DOMAIN ; SCORES ; INDEX
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61370039 ; Beijing Nature Science Foundation(4162064) ; 91646207 ; 91338202)
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000430728400010
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15338
Collection模式识别国家重点实验室_先进数据分析与学习
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Delft Univ Technol, Dept Intelligent Syst, NL-2628 CD Delft, Netherlands
Recommended Citation
GB/T 7714
Gu, Jie,Meng, Gaofeng,Redi, Judith A.,et al. Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2018,20(5):1140-1153.
APA Gu, Jie,Meng, Gaofeng,Redi, Judith A.,Xiang, Shiming,&Pan, Chunhong.(2018).Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling.IEEE TRANSACTIONS ON MULTIMEDIA,20(5),1140-1153.
MLA Gu, Jie,et al."Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling".IEEE TRANSACTIONS ON MULTIMEDIA 20.5(2018):1140-1153.
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