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Improved view synthesis with depth reliability maps
  • 所属机构名称：西安交通大学
  • 会议名称：IEEE Data Compression Conference (DCC2012)
  • 时间：2012.4.10
  • 成果类型：会议
  • 相关项目：联合信源信道的全浸式多描述视频编码
作者： Yi Lai|Xuguang Lan|Yuehu Liu|Nanning Zheng|
同会议论文项目
联合信源信道的全浸式多描述视频编码
期刊论文 17 会议论文 17
同项目会议论文
Parameter-free View Synthesis Distortion Model with Application to Depth Video Coding
An integrated model for bayesian learning of sparse representation and classifier training
Improved View Synthesis with Depth Reliability Maps
Depth-assisted error concealment for intra frame slices in 3D video
Resolution-Scalable Motion Vector Coding Using Prediction between Adjacent Resolutions
Fast Binary Code Generation using Hadamard Matrix for Convolutional Network Hashing
Disocclusion using depth reliability map for view synthesis
Depth-assisted error concealment for intra frame slices in 3D video
Image super-resolution reconstruction at low bit rates
Histogram Matching based on Average Reference Color Correction for Multi-View Coding
Optimized Truncation Model for Adaptive Compressive Sensing Acquisition of Images
Depth Map Coding by Modeling the Locality and Local Correlation of View Synthesis Distortion in 3-D
Resolution-Scalable Motion Vector Coding Using Prediction between Adjacent Resolutions
Universal and low-complexity quantizer design for compressive sensing image coding
An Integrated Model for Bayesian Learning of Sparse Representation and Classifier Training
Semantic Saliency detection based on Convolutional Neural Network