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

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 awarded in those lawsuits was once rigorously reviewed and chosen from 224 submissions. The papers have been equipped in topical sections named: snapshot and audio processing; multimedia content material research; multimedia functions and prone; video coding and processing; multimedia illustration studying; visible realizing and popularity on sizeable info; coding and reconstruction of multimedia info with spatial-temporal info; 3D image/video processing and functions; 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 providers.

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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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Additional 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

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Object tracking: a survey. ACM Comput. Surv. (CSUR) 38(4), 13 (2006) 4. : Lip segmentation based on facial complexion template. -W. ) PCM 2014. LNCS, vol. 8879, pp. 193–202. Springer, Heidelberg (2014) 5. : Automatic image segmentation by dynamic region merging. IEEE Trans. Image Process. 20(12), 3592–3605 (2011) 6. : Medical image segmentation using genetic algorithms. IEEE Trans. Inf Technol. Biomed. 13(2), 166–173 (2009) 7. : Multilevel thresholding for segmentation of medical brain images using real coded genetic algorithm.

ECCV 2010, Part I. LNCS, vol. 6311, pp. 157–170. Springer, Heidelberg (2010) 20. : Unnatural L0 sparse representation for natural image deblurring. In: CVPR, pp. 1107–1114 (2013) 21. : Direct method for restoration of motion-blurred images. J. Opt. Soc. Am. A 15(6), 1512–1519 (1998) 22. : Close the loop: joint blind image restoration and recognition with sparse representation prior. In: ICCV, pp. 770– 777 (2011) 23. : Handling noise in single image deblurring using directional filters. In: CVPR, pp.

IJCV 107(2), 177–190 (2014) 27. : Face alignment with part-based modeling. In: BMVC, pp. 27–1 (2011) 28. : Advances in active appearance models. In: ICCV, pp. 137–142 (1999) 29. : Interactive facial feature localization. , Schmid, C. ) ECCV 2012, Part III. LNCS, vol. 7574, pp. 679–692. Springer, Heidelberg (2012) 30. : Interactive facial feature localization. In: ECCV, pp. kr Abstract. This paper proposes a deblur algorithm using IMU sensor and long/ short exposure-time image pair. First, we derive an initial blur kernel from gyro data of IMU sensor.

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