Read e-book online Advances in Multimedia Information Processing – PCM 2015: PDF

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 complaints 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 used to be conscientiously reviewed and chosen from 224 submissions. The papers have been prepared in topical sections named: photo and audio processing; multimedia content material research; multimedia functions and prone; video coding and processing; multimedia illustration studying; visible realizing and popularity on monstrous facts; coding and reconstruction of multimedia info with spatial-temporal details; 3D image/video processing and functions; video/image caliber review 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 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 info 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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Pattern Anal. Mach. Intell. 33(8), 1603–1618 (2011) 5. : Non-uniform deblurring for shaken images. Int. J. Comput. Vis. 98(2), 168–186 (2012) 6. : Two-phase kernel estimation for robust motion deblurring. , Paragios, N. ) ECCV 2010, Part I. LNCS, vol. 6311, pp. 157–170. Springer, Heidelberg (2010) 7. : Lucas-Kanade 20 years on: a unifying framework. Int. J. Comput. Vis. 56(3), 221–255 (2004) 8. : BM3D Image denoising with shape-adaptive principal component analysis. kr Abstract. Object searching is the identification of an object in an image or video.

Object Searching with Combination of Template Matching 35 3 Proposed Method The proposed method is initially motivated by Chantara’s work [13] based on matching efficiency. Based on Chantara’s work, the proposed method adapts an adaptive template matching to enhance the matching accuracy. The contribution of the proposed method is to increase the matching performance. 1 Partition Search Area A partition search area reallocates the target image. A proper size of the target image relates to the previous interested object position as shown in Fig.

Recent years have witnessed great progress in image deblurring. However, as an important application case, the deblurring of face images has not been well studied. Most existing face deblurring methods rely on exemplar set construction and candidate matching, which not only cost much computation time but also are vulnerable to possible complex or exaggerated face variations. To address the aforementioned problems, we propose a novel face deblurring method by integrating classical L0 deblurring approach with face landmark detection.

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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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