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 complaints 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 purposes and providers; video coding and processing; multimedia illustration studying; visible figuring out and popularity on huge info; coding and reconstruction of multimedia information with spatial-temporal details; 3D image/video processing and purposes; video/image caliber evaluate and processing; social media computing; human motion attractiveness in social robotics and video surveillance; fresh advances in image/video processing; new media illustration and transmission applied sciences for rising UHD companies.
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 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
And many other techniques are adopted to improve the coding performance. All these techniques bring great challenges to establish an accurate rate distortion (R-D) model and bit allocation scheme in rate control for 3D-HEVC. In the literature, several rate control schemes for 3D-HEVC are proposed. Two representative rate control methods, URQ and R-lambda have been proposed for 3D-HEVC in [8,9], which are the extension of the methods in HEVC. In order to get better performance, depth maps-based inter-views MAD prediction is proposed to improve the prediction accuracy of the to-be-generated bits for the current unit.
Figure 2 is the detailed comparison with GC-LSL and PMBP on Teddy and Tsukuba datasets. From the comparison results, we can see that our results (col 3) in the red rectangular region clearly obtain better results, demonstrating that our method achieves good results in both complex texture regions(row 1) and low texture regions(row 2). The proposed method achieves better accuracy primarily because we ﬁnd one optimal label space in each iteration of GC. It is a new way to compute label space, which illustrates that it is eﬀective to conduct expansion steps in GC.
004 Table 6. Performance comparison for n = 4 Seq. Boo. Cha. New. Poz. Ave. 22 Thread Time(s) Partition Location 768 vs. 003 WDRR (%) Speedup Ratio vs. 14 0 0 20 40 60 Frame number (b) 80 100 0 20 40 60 Frame number 80 100 (d) Fig. 5. Newspaper sequence under INTER: (a) and (b) are partition location and workload for 2-thread case, respectively; (c) and (d) are partition location and workload for 4-thread case, respectively 12 Z. Liu et al. prediction method, the partition locations will be adjusted adaptively and the workload among the cores is balanced during the view synthesis process.