By Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
The two-volume lawsuits LNCS 9314 and 9315, represent the complaints of the 16th Pacific-Rim convention on Multimedia, PCM 2015, held in Gwangju, South Korea, in September 2015.
The overall of 138 complete and 32 brief papers offered in those court cases used to be rigorously reviewed and chosen from 224 submissions. The papers have been geared up in topical sections named: photograph and audio processing; multimedia content material research; multimedia functions and companies; video coding and processing; multimedia illustration studying; visible realizing and popularity on sizeable info; coding and reconstruction of multimedia information with spatial-temporal info; 3D image/video processing and functions; video/image caliber evaluate and processing; social media computing; human motion reputation in social robotics and video surveillance; contemporary advances in image/video processing; new media illustration and transmission applied sciences for rising UHD providers.
Read Online or Download Advances in Multimedia Information Processing – PCM 2015: 16th Pacific-Rim Conference on Multimedia Gwangju, South Korea, September 16–18, 2015, Proceedings, Part I PDF
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Additional resources for Advances in Multimedia Information Processing – PCM 2015: 16th Pacific-Rim Conference on Multimedia Gwangju, South Korea, September 16–18, 2015, Proceedings, Part I
The underlying observation is that the original strong edges tend to be salient even after blurring, which can provide useful guiding information for latent sharp image restoration. Fig. 1. Illustration of face image deblurring. (a): blurred image; (b) and (d): salient contour achieved by  and the proposed method; (c) and (e): corresponding results. Computation cost and error ratios are provided. Unfortunately, these general-purpose methods fail in some speciﬁc cases, such as text images [3,16], low-light images  and face images [1,8].
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241–248 (2011) 6. : Removing camera shake from a single photograph. ACM Trans. Graph. 25(3), 787–794 (2006) 7. : Blur-Kernel estimation from spectral irregularities. , Schmid, C. ) ECCV 2012, Part V. LNCS, vol. 7576, pp. 622–635. Springer, Heidelberg (2012) 8. : Deblurring by example using dense correspondence. In: ICCV, pp. 2384–2391 (2013) 9. : Deblurring low-light images with light streaks. In: CVPR, pp. 3382–3389 (2014) 10. : PSF estimation using sharp edge prediction. In: CVPR, pp. 1–8 (2008) 11.