By Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
The two-volume lawsuits LNCS 9314 and 9315, represent the lawsuits 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 was once conscientiously reviewed and chosen from 224 submissions. The papers have been prepared in topical sections named: snapshot and audio processing; multimedia content material research; multimedia purposes and prone; video coding and processing; multimedia illustration studying; visible knowing and popularity on tremendous information; coding and reconstruction of multimedia info with spatial-temporal details; 3D image/video processing and purposes; video/image caliber review and processing; social media computing; human motion acceptance in social robotics and video surveillance; fresh advances in image/video processing; new media illustration and transmission applied sciences for rising UHD companies.
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 II PDF
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Additional info for Advances in Multimedia Information Processing – PCM 2015: 16th Pacific-Rim Conference on Multimedia Gwangju, South Korea, September 16–18, 2015, Proceedings, Part II
Intell. 26(2), 147–159 (2004) 8. : Logcut - eﬃcient graph cut optimization for markov random ﬁelds. In: International Conference on Computer Vision, pp. 1–8 (2007) 9. : 3D entity-based stereo matching with ground control points and joint second-order smoothness prior. Vis. Comput. 31, 1–17 (2014) 10. : Patchmatch ﬁlter: eﬃcient edge-aware ﬁltering meets randomized search for fast correspondence ﬁeld estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1854–1861.
73 (a) Original color image (b) JBU (c) Proposed method Fig. 5. Enlarged texture copying area neighbor method. In the experiment, the length of one side in the local window for the blending function, the length of one side in the local window for the ﬁltering, variance of the spatial ﬁlter rs , variance of the range ﬁlter rr were set to factor 2: 7, 7, 1, 3, factor 4: 9, 7, 3, 8 and factor 8: 17, 11, 5, 10. 3 in this test. The proposed method is compared with the joint bilateral upsampling (JBU) , the noise-aware ﬁlter for depth upsampling (NAFDU)  and the MRF-based depth upsampling .
By applying blending function to the depth map upsampling, we obtain the high resolution depth map without texture copying of color guide image. In addition, the proposed upsampling method makes high-resolution depth map while protecting edge region. 2 Related Work Low resolution of depth map provided by ToF cameras cause the problems in some 3D applications making. Using the color image information for the upsampling is a valid approach to enhance and improve the ToF data. Kopf et al. presented joint bilateral upsampling (JBU), a modiﬁed version of the joint bilateral ﬁlter for the depth map upsampling considers guide color image information .
Advances in Multimedia Information Processing – PCM 2015: 16th Pacific-Rim Conference on Multimedia Gwangju, South Korea, September 16–18, 2015, Proceedings, Part II by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu