Canva. has filed a patent for a computer-implemented method that involves processing input videos to generate output frames using noise addition and stylization algorithms. The method also includes optical flow data calculation and encoding of output video data. GlobalData’s report on Canva gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Canva, Industrial data mgmt systems was a key innovation area identified from patents. Canva's grant share as of January 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
Video stylization method using noise and optical flow

A computer-implemented method for video processing has been filed as a patent, involving the generation of output frames based on input video frames. The method includes adding noise to low-frequency regions of input frames, processing them with a stylization algorithm to create output frames, and preserving noise while deforming frames based on optical flow data. The output frames are then encoded into video data. Additional steps involve generating frames for subsequent input frames, determining the need for new noise-added frames based on composition changes or scene transitions, and processing frames using Fast Fourier Transform and bandpass filters to generate noise mask datasets.
Furthermore, the patent includes claims for a computer processing system and a non-transient storage medium storing executable instructions for the video processing method. The system comprises a processing unit and storage medium with instructions for accessing input video, generating output frames by adding noise and applying stylization algorithms, preserving noise while deforming frames based on optical flow data, and encoding the output frames into video data. The method also involves generating frames for subsequent input frames, determining the need for new noise-added frames based on composition changes or scene transitions, and processing frames using Fast Fourier Transform and bandpass filters to generate noise mask datasets. These claims highlight the innovative approach to video processing outlined in the patent application.
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