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Flow-Grounded Dynamic Texture Synthesis for Video Compression

The basic ingredients of modern video coding standards are block-based prediction and transforms. However, when dealing with video contents containing dynamic textures (DT), the existing prediction schemes usually failed due to temporal variability and randomness of DT, which results in more bit cost on residual coding compared with other contents. In view of this point, a novel video compression scheme for DT is proposed in this work. In particular, wavelet-based analysis on motion characteristics of DT is firstly presented and based on the analysis, we introduce a flow-grounded texture synthesis method for video compression. Instead of conventional inter prediction, synthesized DT contents are used for reconstruction at the decoder. The proposed scheme has been fully integrated into the test model of Versatile Video Coding standard, VTM-10.0, for validation and a subjective test has also been carried out. Experimental results show that bitrate savings can be achieved by 40% on average at comparable visual quality.