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Advances in Multimedia Information Processing - PCM 2016: - download pdf or read online

By Enqing Chen, Yihong Gong, Yun Tie

ISBN-10: 3319488953

ISBN-13: 9783319488950

ISBN-10: 3319488961

ISBN-13: 9783319488967

The two-volume lawsuits LNCS 9916 and 9917, represent the complaints of the 17th Pacific-Rim convention on Multimedia, PCM 2016, held in Xi`an, China, in September 2016.

The overall of 128 papers provided in those court cases was once rigorously reviewed and chosen from 202 submissions.

The concentration of the convention used to be as follows in multimedia content material research, multimedia sign processing and communications, and multimedia functions and services.

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Read or Download Advances in Multimedia Information Processing - PCM 2016: 17th Pacific-Rim Conference on Multimedia, Xi´ an, China, September 15-16, 2016, Proceedings, Part II PDF

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Extra resources for Advances in Multimedia Information Processing - PCM 2016: 17th Pacific-Rim Conference on Multimedia, Xi´ an, China, September 15-16, 2016, Proceedings, Part II

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As hinted by the quantitative results, One Cut includes larger parts of external objects, mainly due to the lack of prior shape information. This occurs on most of the images in the database, explaining the significantly lower performance of One Cut in Tables 2 and 3. 4 Conclusion We proposed a novel framework for extracting deformable clothing objects from web images. Our proposal combines a three stage global-local approach that injects specific knowledge about the object by using segmentation templates to guide an active contour process.

C Springer International Publishing AG 2016 E. Chen et al. ): PCM 2016, Part II, LNCS 9917, pp. 24–32, 2016. 1007/978-3-319-48896-7 3 Speech Enhancement Using Non-negative Low-Rank Modeling 25 Inspired by source separation techniques, non-negative matrix factorization (NMF), which is a powerful model for extracting perceptually meaningful components from mixtures due to its additive nature [3], has recently been extensively investigated for speech enhancement [4,5]. , noise model or/and speaker dependent/independent speech model).

We generate a superpixels map based on the SLIC method [17]. The algorithm will train a HMM model and enact a threshold on depth intensity image. It may not be a necessary part because the wrong layout synthetic images would receive a low ranking in layout aesthetic evaluation. However, this map is a limit condition for synthetic layout generation so that we can improve the efficiency and avoid the obvious ridiculous image like a man standing in the air or on a tree. 3 17 Synthetic Photo Generation The key of our application is to generate the best synthetic layout images.

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Advances in Multimedia Information Processing - PCM 2016: 17th Pacific-Rim Conference on Multimedia, Xi´ an, China, September 15-16, 2016, Proceedings, Part II by Enqing Chen, Yihong Gong, Yun Tie


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