PATENT CLAIM ANALYSIS

Application Number: 15745267
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["375", "240160"]

Abstract:
The present disclosure relates to a motion compensation matching method and system for video coding. The method comprises: a CPU extracting a current frame image and a reference frame image from a video to be processed and sending the extracted frame images to a GPU; the GPU performing interpolation process at least once on the reference frame image to obtain a plurality of interpolation images; the GPU dividing the current frame image to obtain a plurality of prediction blocks; the GPU, according to each of the prediction blocks, performing block matching search in the reference frame image and each of the interpolation images; according to a result of the block matching search, determining a motion vector of a desired image block of the current frame image. The present disclosure uses GPU to execute large amounts of computation for interpolation and division of the frame images and block matching search, and uses CPU to process a small amount of computation. Since GPU is used to process search, which can be the most complicated and the most energy-consuming part of the coding process, the large-scale concurrency of the graphics card can be sufficiently utilized, and thus the video coding speed can be significantly increased.

Claim (Index 13):
A computer program product, stored on a non-transitory computer-readable medium, the computer program comprising instructions for causing one or more computers to perform the motion compensation matching method according to  claim 1 .

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.62651
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10725061', '11852133', '10623506', '11780971', '12243567']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5076634787354376
- 35 USC 102 Novelty (BERT): 0.519875931506964
- Combined Prediction Score: 0.5088847240125902
- Mean Citation Score: 270.616144
- Max Citation Score: 297.75143
- Similarity Product: 169.56171019317333

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test