Reduced reference image quality assessment via Boltzmann Machines

Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management, IM 2015

Volumn , Issue , 2015, Pages 1278-1281

  Mocanu, Decebal Constantin ^a   Exarchakos, Georgios ^a   Ammar, Haitham Bou ^b   Liotta, Antonio ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Deep Learning; Quality of Experience; Reduced Reference Image Quality Assessment; Restricted Boltzmann Machine; Similarity Measure

Indexed keywords

DEEP LEARNING; LEARNING SYSTEMS; NETWORK MANAGEMENT; QUALITY CONTROL; QUALITY OF SERVICE; STOCHASTIC SYSTEMS;

AMOUNT OF INFORMATION; CONTEXT INDEPENDENT; MONITORING AND CONTROLLING; QUALITY OF EXPERIENCE (QOE); REAL-WORLD SCENARIO; REDUCED-REFERENCE IMAGE QUALITY ASSESSMENTS; RESTRICTED BOLTZMANN MACHINE; SIMILARITY MEASURE;

IMAGE QUALITY;

EID: 84942645422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INM.2015.7140481     Document Type: Conference Paper

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