PATENT CLAIM ANALYSIS

Application Number: 15780448
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["375", "240160"]

Abstract:
An image decoding method includes: obtaining, for each of processing units obtained by splitting a current frame, motion vectors assigned to the processing unit; selecting, for each of small regions obtained by splitting a processing unit among the processing units, a motion vector to be used from among the motion vectors assigned to the processing unit, based on the motion vectors and reference frames at different times; generating, for each of the small regions, a predicted image using the motion vector selected for the small region; and decoding each of the small regions using the predicted image generated for the small region.

Claim (Index 5):
The image decoding method according to  claim 4 , wherein\n in generating the predicted image, when the correlation between the regions indicated by the background vector and the correlation between the regions indicated by the foreground vector are each lower than the predetermined value, the predicted image is generated using a region that belongs to a background, among a first region on the first frame and a second region on the second frame, the first region and the second region being indicated by the background vector.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 2.32653
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13082132', '09995781', '13857724', '13981017', '13412251']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4646217495473922
- 35 USC 102 Novelty (BERT): 0.501790113373514
- Combined Prediction Score: 0.4683385859300045
- Mean Citation Score: 211.19406400000005
- Max Citation Score: 213.71596
- Similarity Product: 146.11688111990455

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

Dataset: test