Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Texture Mixing and Texture Movie Synthesis Using Statistical Learning
IEEE Transactions on Visualization and Computer Graphics
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic texture synthesis using a spatial temporal descriptor
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
DynTex: A comprehensive database of dynamic textures
Pattern Recognition Letters
Higher Order SVD Analysis for Dynamic Texture Synthesis
IEEE Transactions on Image Processing
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Dynamic textures are image sequences recording texture in motion. Given a sample video, the goal of synthesis is to create a new sequence enlarged in spatial and/or temporal domain, which looks perceptually similar to the input. Most synthesis methods are mainly focused on extending sequences only in the temporal domain. In this paper, we propose a dynamic texture synthesis approach for spatial domain, where we aim to enlarge the frame size while preserving the aspect and motion of the original video. For this purpose, we use a patch-based synthesis method based on LBP-TOP features. In our approach, 3D patch regions from the input are selected and copied to an output sequence. Usually, in other patch-based approaches, the selection of the patches is based only in the color, which cannot capture the spatial and temporal information, causing an unnatural look in the output. In contrast, we propose to use the LBP-TOP operator, which implicitly represents information about appearance, dynamics and correlation between frames. The experiments show that the use of the LBP-TOP improves the performance of other methods giving a good description of the structure and motion of dynamic textures without generating visible discontinuities or artifacts.