By Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
The two-volume court cases LNCS 9314 and 9315, represent the court cases 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 provided in those complaints used to be rigorously reviewed and chosen from 224 submissions. The papers have been prepared in topical sections named: picture and audio processing; multimedia content material research; multimedia functions and providers; video coding and processing; multimedia illustration studying; visible figuring out and popularity on colossal info; coding and reconstruction of multimedia facts with spatial-temporal info; 3D image/video processing and purposes; video/image caliber evaluation 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 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 I PDF
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Extra 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
Without loss of generality, the blur kernel by translation can be approxi‐ mated with that by rotation. Thus, deblur approaches based on non-uniform blur model are required to remove real blur phenomenon completely. Equation (2) deﬁnes the non-uniform blur model because the blur kernel is spatiallyvariant due to camera rotation . (2) where indicates the transformation matrix for the i-th homography. Equation (2) can be re-written as follows with a ﬁnite number of homographies. (3) where stands for the weights to compensate for distortion due to the limited number of homographies.
Quantatitive comparisons with some state-of-the-art single-image deblurring methods: Pan et al. , Shan et al. , Cho and Lee , Xu and Jia , Krishnan et al. , Levin et al. , Zhong et al. , and Xu et al. . (a) Real image 1 (b) Pan  (c) Ours (d) Real Image 2 (e) Pan  (f) Ours Fig. 5. 1 Experiments on Synthesised Dataset and Real Images To validate the eﬀectiveness of our method, experiments are conducted on the synthesised dataset and real images used in  with the same settings.
Acknowledgement. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2011-0030079). References 1. : Object tracking: a survey. ACM Comput. Surv. 38(4), Article 13, 1–45 (2006) 2. : Object tracking integrating template matching and mean shift algorithm. In: International Conference on Multimedia Technology, pp. 3583– 3586 (2011) Object Searching with Combination of Template Matching 41 3.
Advances in Multimedia Information Processing – PCM 2015: 16th Pacific-Rim Conference on Multimedia Gwangju, South Korea, September 16–18, 2015, Proceedings, Part I by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu