By Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
The two-volume court cases 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 was once conscientiously reviewed and chosen from 224 submissions. The papers have been equipped in topical sections named: photograph and audio processing; multimedia content material research; multimedia purposes and providers; video coding and processing; multimedia illustration studying; visible realizing and popularity on massive facts; coding and reconstruction of multimedia information with spatial-temporal info; 3D image/video processing and purposes; video/image caliber evaluation 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 prone.
Read 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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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 II
Fig. 1. General framework of the 3D-HEVC  system In order to model the expression in (1), we need to investigate the rate and distortion (R-D) relationship for coded texture views and synthesized views, respectively. 1 R-D Model for the Coded Texture Views To obtain the R-D characteristics of the coded views, we encode the original texture video with 4 quantization parameters (QP) (25, 30, 35, and 40). As an example, the R-D curve of the texture distortion and the bit rate of test sequence ‘Newspaper_CC’ are illustrated in Fig.
F, g and h are all Gaussian functions, and að xÞ is a blending function. If the x is increased, a is close to 1 and proposed method upsample of low resolution depth map while protecting the edge information. Otherwise, If the x is decreased, a is close to 0 and proposed method use the median ﬁltered depth map information. Noise in ToF cameras is due to systematic errors and other sources impacting the measurements . For example, surfaces with low infrared reflectance properties result in error region of the depth map.
M indicates the mean in the X and min, max represents the minimum depth value and maximum depth value in the X: The standard deviation distribution is normalized in 0 to 1 by consider maximum standard deviation. Also, it can represent how much edge information is included in each kernel. If standard deviation is very small in some region then the x have almost zero. Otherwise, x is the close to one when the standard deviation is almost same with maximum standard deviation. So, we can determine the edge in the ﬁlter kernel by using the x value (Fig.
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