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

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

ISBN-10: 3319240749

ISBN-13: 9783319240749

ISBN-10: 3319240757

ISBN-13: 9783319240756

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 offered in those court cases was once rigorously reviewed and chosen from 224 submissions. The papers have been geared up in topical sections named: photo and audio processing; multimedia content material research; multimedia purposes and companies; video coding and processing; multimedia illustration studying; visible realizing and popularity on large facts; coding and reconstruction of multimedia facts with spatial-temporal details; 3D image/video processing and functions; video/image caliber overview 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.

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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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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

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6311, pp. 1–14. Springer, Heidelberg (2010) 25. : One millisecond face alignment with an ensemble of regression trees. In: CVPR, pp. 1867–1874 (2014) 26. : Face alignment by explicit shape regression. 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.

Availability of high definition videos, fast processing computers and exponentially increasing demand for highly reliable automated video analysis have created a new and a great deal for modifying object tracking algorithms. Video analysis has three main steps mainly: detection of interesting moving objects, tracking of such objects from each and every frame to frame and analysis of object tracks to recognize the behavior of the object in the entire video [1]. Several algorithms for object searching have been reported.

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. : Vehicle tracking using template matching based on feature points. In: IEEE International Conference on Information Reuse and Integration, pp. 573–577 (2006) 4. : Template Matching Techniques in Computer Vision: Theory and Practice. Wiley, New York (2009) 5.

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


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