Titlebook: Image and Graphics; 10th International C Yao Zhao,Nick Barnes,Chunyu Lin Conference proceedings 2019 Springer Nature Switzerland AG 2019 ar

著名

Fine Granular Parallel Algorithm for HEVC Encoding Based on Multicore Platform encoding scheme based on CTU rows like wavefront parallel processing (WPP) and inter-frame wavefront (IFW) can efficiently reduce the encoding time of HEVC. However, due to the coding complexity of CTU within various rows may be quite different, WPP and IFW have the problem of unbalanced load among

强所

Block Partitioning Decision Based on Content Complexity for Future Video Codingartition of QTBT is more flexible and the encoding performance is better, but at the same time, the encoding complexity is greatly increased. In order to better balance coding performance and complexity, we propose a block partitioning decision algorithm based on content complexity. By analyzing the

控诉

No-Reference Stereoscopic Video Quality Assessment Based on Spatial-Temporal Statisticss enormous challenge. In this paper, we propose a novel blind SVQA method based on monocular and binocular spatial-temporal statistics. We first extract the frames and the frame difference maps from adjacent frames of both left and right view videos as the spatial and spatial-temporal representation

摘要

CNN-Based Stereoscopic Image InpaintingThe proposed network is composed of two encoders for independent feature extraction of a pair of stereo images with missing regions, a feature fusion module for stereo coherent structure prediction, and two decoders to generate a pair of completed images. In order to train the model, besides a recon

鞭打

hyperuricemia

Robust Dynamic 3D Shape Measurement with Hybrid Fourier-Transform Phase-Shifting Profilometryetry (FTP) and phase-shifting profilometry (PSP). The motion vulnerability of multi-shot PSP can be significantly alleviated through the combination of single-shot FTP, while the high accuracy of PSP can also be preserved when the object is motionless. We design a phase-based pixel-wise motion detec

insipid

An Improved Clustering Method for Multi-view Imagesorithm for massive and unstructured images. To meet the multi-view requirements, improve speed and accuracy, a response layer is introduced to the self-organizing map neural network. An online self-organizing map neural network with simple parameters and without prior training is proposed and used f

annexation

Common Subspace Based Low-Rank and Joint Sparse Representation for Multi-view Face Recognitionce data. However, these data have large pose variation, which dramatically degrades the performance of multi-view face recognition. To address this, we propose a common subspace based low-rank and joint sparse representation (CSLRJSR) method, which provides a framework encompassing divergence mitiga

Demulcent

BIAS

An Efficient Quality Enhancement Solution for Stereo Imageshods generally adopt cost volumes for stereo matching methods to learn correspondence between stereo image pairs. However, with the large disparity in the different viewpoints of stereo images, how to learn the accurate corresponding information remains a challenge. In addition, as the network deepe