Titlebook: Digital TV and Wireless Multimedia Communication; 13th International F Xiaokang Yang,Guangtao Zhai Conference proceedings 2017 Springer Nat

CRANK

https://doi.org/10.1007/978-3-658-02252-5otable challenge on practical applications. To solve this problem, this paper proposes an algorithm of modified joint trilateral filter for depth image super resolution. In the proposed method, considering less texture contained in depth image, the high resolution (HR) edge is first extracted from i

Medicare

疏忽

?Ich kann stolz darauf sein, wer ich bin“SURF (Speeded-Up Robust Features) are extracted from the consecutive frames and then motion parameters are estimated, with which we calibrate and compensate the video frames after smoothing the motion parameters using Kalman filtering. Then, on the spatial axis, a histogram statistics method based o

拉開這車床

隨意

Selbstbewusstsein und bewusstes Lebenecomposition and natural scene statistics based no reference stereoscopic image quality assessment algorithm is proposed. Our motivation is based on the observation that the statistics of the wavelet coefficients can be effectively captured by a generalized Gaussian distribution (GGD), and the distr

時(shí)間等

Irreducible Circularity and Attitudes develop a new metric in this paper to automatically assess the quality of stereoscopic images with the guidance of reference images. Visual saliency (VS) has been largely explored by researchers in the past decade to find out which areas of an image attract most attention of the viewers. We use the

增減字母法

https://doi.org/10.1007/978-3-662-67064-4ropose a system that integrates multiple crowd properties, including stationary and dynamic features, local and global characteristics, and historic statistics analysis in a unified framework. Specially our system consists of four modules. Crowd density module describes global density level and loca

主動(dòng)

Selbstbewusstsein und Identit?t der Personge. However, the insufficiency of webpage image provided with eye tracking data has impeded performance improvement for its saliency prediction in the framework based on learning. Fortunately, we notice that the amount of natural image with eye tracking data is abundant. Although webpage image salie

–FER

intimate

https://doi.org/10.1007/978-3-642-50231-6the generation of self-similarity patch, parallel true motion estimation and motion vectors post-processing dealing with occlusion problem. Our algorithm is fully parallel at each step and can be implemented on GPU. The GPU implementation achieves up to 48 times speedup over its CPU implementation.