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Blind Image Quality Assessment designed by learning-based attributes selection.

, , и . CIC, стр. 171-176. Society for Imaging Science and Technology, (2017)

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Psychovisual approach for watermarking., , и . Security and Watermarking of Multimedia Contents, том 4314 из SPIE Proceedings, стр. 495-504. SPIE, (2001)Image coding in the context of a psychovisual image representation with vector quantization., , и . ICIP, стр. 97-100. IEEE Computer Society, (1995)Blind Image Quality Assessment designed by learning-based attributes selection., , и . CIC, стр. 171-176. Society for Imaging Science and Technology, (2017)Influence of video resolution, viewing device and audio quality on perceived multimedia quality for steaming applications., , и . EUVIP, стр. 1-6. IEEE, (2014)Attentional mechanisms driven adaptive quantization and selective bit allocation scheme for H.264/AVC., , , и . Signal Process. Image Commun., 28 (8): 843-855 (2013)Frequency and spatial pooling of visual differences for still image quality assessment., , и . Human Vision and Electronic Imaging, том 3959 из SPIE Proceedings, стр. 595-603. SPIE, (2000)Automatic video summarization driven by a spatio-temporal attention model., и . Human Vision and Electronic Imaging, том 6806 из SPIE Proceedings, стр. 68060Q. SPIE, (2008)A New Reference Free Approach for the Quality Assessment of MPEG Coded Videos., и . ACIVS, том 3708 из Lecture Notes in Computer Science, стр. 364-371. Springer, (2005)Blind Quality Metric using a Perceptual Importance Map for JPEG-20000 Compressed Images., и . ICIP, стр. 2941-2944. IEEE, (2006)Dimension reduction-based attributes selection in no-reference learning-based image quality algorithms., , и . IQSP, стр. 15-20. Society for Imaging Science and Technology, (2017)