Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu's Advances in Multimedia Information Processing – PCM 2015: PDF

By Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu

ISBN-10: 3319240773

ISBN-13: 9783319240770

ISBN-10: 3319240781

ISBN-13: 9783319240787

The two-volume court cases 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 lawsuits 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 companies; video coding and processing; multimedia illustration studying; visible figuring out and popularity on giant facts; coding and reconstruction of multimedia info with spatial-temporal info; 3D image/video processing and purposes; video/image caliber overview 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.

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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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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

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Figure 3 shows the disparity result of our algorithm both with and without considering GCPs. From the results, we can see that GCPs contributes significantly to improvement in the accuracy of the final disparity map. Table 2 gives the quantitative evaluation on Middlebury evaluation system. 3, while the disparity error considering the GCPs constraint term guide the 22 X. Huang et al. Fig. 3. Disparity map without GCPs(row 1) and with GCPs(row 2). Table 2. Quantitative comparison of disparity with and without GCPs Algorithm Avg.

Passive depth sensing uses multi-view images to calculate depth information [1]. In the active sensor-based methods, depth information is obtained from the object directly using physical sensors, such as infrared ray (IR) sensors [2]. Recently, KINECT depth camera and Time-of-Flight (ToF) range camera became a popular alternative for dense depth sensing. Although ToF cameras can capture depth information for object in real time, but are noisy and subject to low resolutions. For example, the current ToF camera ‘Mesa Imaging SR4000’ provides a 176 × 144 depth map up to 30 frames per second.

76–81 (1998) 8. : Hilbert transform based workload prediction and dynamic frequency scaling for power efficient video encoding. IEEE Trans. CAD Integr. Circ. Syst. 31(5), 649–661 (2012) 9. : Dynamic voltage scheduling using adaptive filtering of workload traces. In: Fourteenth International Conference on VLSI Design, pp. 221–226. IEEE, Bangalore (2001) 10. : Inter-view consistent hole filling in view extrapolation for multi-view image generation. In: IEEE International Conference on Image Processing, Paris, pp.

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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


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