Read e-book online Advances in Multimedia Information Processing - PCM 2016: PDF

By Enqing Chen, Yihong Gong, Yun Tie

ISBN-10: 3319488953

ISBN-13: 9783319488950

ISBN-10: 3319488961

ISBN-13: 9783319488967

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

The overall of 128 papers offered in those court cases used to be rigorously reviewed and chosen from 202 submissions.

The concentration of the convention was once as follows in multimedia content material research, multimedia sign processing and communications, and multimedia purposes 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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IEEE (2011) 12. : Assessing the aesthetic quality of photographs using generic image descriptors. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 1784–1791. IEEE (2011) 13. : Optimizing photo composition. In: Computer Graphics Forum, vol. 29, pp. 469–478. Wiley Online Library (2010) 14. : Assessment of photo aesthetics with efficiency. In: 2012 21st International Conference on Pattern Recognition (ICPR), pp. 2186–2189. IEEE (2012) 15. : Learning rich features from RGBD images for object detection and segmentation.

15(3), 1066–1074 (2007) 5. : Regularized non-negative matrix factorization with temporal dependencies for speech denoising. In: INTERSPEECH, pp. 411–414 (2008) 6. : Online PLCA for real-time semi-supervised source separation. , Zibulevsky, M. ) LVA/ICA 2012. LNCS, vol. 7191, pp. 34–41. Springer, Heidelberg (2012). doi:10. 1007/978-3-642-28551-6 5 7. : Sing-voice separation from monaural recording using robust principal component analysis. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

This model chooses Markov Random Field (MRF) to incorporate local and global features. The algorithm will generate several typical features including haze, texture gradients and variations. The method is trained on images collected from Internet and part of SUN2012 dataset [16], and shows satisfying results to support our work. The depth images are visualized in grayscale where higher intensity indicates nearer and vice versa. 2 Human Model and Ground Detection In our work we assume that only color and posture would slightly influence the final recommendation score.

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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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