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Volumn , Issue , 2009, Pages 561-564

Perceptual quality assessment based on visual attention analysis

Author keywords

Perceptual quality assessment; Quality metric; Visual attention

Indexed keywords

HUMAN ATTENTION; HUMAN VISION; IMAGE/VIDEO QUALITY; PEAK SIGNAL-TO-NOISE RATIO; PERCEPTION SYSTEMS; PERCEPTUAL QUALITY; QUALITY METRICES; QUALITY METRICS; SEMANTIC IMAGES; STRUCTURAL SIMILARITY; VIDEO QUALITY; VISUAL ATTENTION;

EID: 72449152677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631356     Document Type: Conference Paper
Times cited : (62)

References (10)
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    • Wang, Z.1    Bovik, A.C.2    Sheikh, H.R.3    Simoncelli, E.P.4
  • 4
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    • Itti L. and Koch C. 2001. Computational modeling of visual attention, Nat. Rev. Neurosci., 2 (Mar. 2001), 194-203.
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    • Itti, L.1    Koch, C.2
  • 5
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    • Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation
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    • Lu Z., Lin W., Yang X., et al. 2005. Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation. IEEE Trans. Image Processing, 14 (Nov. 2005), 1928-1942.
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    • Lu, Z.1    Lin, W.2    Yang, X.3
  • 6
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    • Saliency based objective quality assessment of decoded video affected by packet losses
    • California, USA, Oct. 12-15
    • Feng X., Liu T., Yang D., and Wang Y. 2008. Saliency based objective quality assessment of decoded video affected by packet losses. In Proceedings of IEEE Int. Conf. Image Processing (California, USA, Oct. 12-15, 2008), 2560-2563.
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  • 9
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    • VQEG Sequence, ftp://ftp.crc.ca/crc/vqeg/TestSequences/.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.