Beijing ByteDance Technology has been granted a patent for a method of video processing involving gradient computation in bi-directional optical flow. The method includes modifying temporal gradients in a motion vectors refinement process based on block sizes, enabling refined motion vectors for subsequent blocks. GlobalData’s report on Beijing ByteDance Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Beijing ByteDance Technology, Adaptive video coding was a key innovation area identified from patents. Beijing ByteDance Technology's grant share as of January 2024 was 27%. Grant share is based on the ratio of number of grants to total number of patents.
Video processing method using modified temporal gradients in motion vectors
A recently granted patent (Publication Number: US11889108B2) discloses a method of video processing involving a motion vector refinement process. The method includes modifying temporal gradients of blocks or sub-blocks of different sizes to generate refined motion vectors for subsequent blocks. The process involves removing mean differences between reference blocks and utilizing partial temporal and spatial gradients calculated using partial pixels to derive refined motion vectors. The patent also covers the implementation of this motion vector refinement process in various techniques such as bi-directional optical flow (BIO), decoder-side motion vector refinement (DMVR), or frame-rate up conversion (FRUC).
Furthermore, the patent extends to a video processing apparatus and a computer program product stored on non-transitory media, both designed to carry out the described method. The apparatus includes a processor and memory with instructions for implementing the motion vector refinement process, while the computer program product contains program code for the same purpose. The patent emphasizes the utilization of modified temporal gradients in refining motion vectors for different block sizes, highlighting the efficiency and adaptability of the disclosed video processing technique.
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