By Enqing Chen, Yihong Gong, Yun Tie
The two-volume complaints 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 awarded in those complaints was once conscientiously 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 purposes and services.
Read Online 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
Note that once the parameters are initialized with non-negative values, their sign always hold during iterations. 3 Proof of Convergence We analyze the convergence of TC-RNMF and prove that the cost function keeps decreasing until it converges to a local minimum. ˆ S) is an auxiliary function for cost function C(θ||S) if it Definition. G(θ||θ, satisﬁes the condition, ˆ S) ≥ C(θ||S) G(θ||θ, ˆ θ, ˆ S) = C(θ||S) ˆ G(θ|| (6) here, we use the notation θ to denote W or H as the their symmetry when given a particular value of S.
NOISEX-92: a database and an experiment to study the eﬀect of additive noise on speech recognition systems. Speech Commun. 12(3), 247–251 (1993) 18. : Performance measurement in blind audio source separation. IEEE Trans. Audio Speech Lang. Process. 14(4), 1462–1469 (2006) 19. : Speech enhancement based on robust NMF solved by alternating direction method of multipliers. In: IEEE International Workshop on Multimedia Signal Processing, pp. 1–5. cn Abstract. We present a facial animation system for ordinary singlecameral videos based on 2D shape regression.
If the image get a high score of symmetry, we will intend to put the human ﬁgure in the center which is corresponding to the visual balance. We compute the correspondence split by middle vertical line. Score(SP ) = λ exp(− i+p=H j+q=W |(xi , yj ) − (xp , yq )|2 2ω ) (4) where H is the height of the image, W is the width of the image and (x, y) is each point divided by the middle vertical line. 18. Finally, we combine those three computational photography guidelines to be a complete model and compute the ﬁnal score.
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