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 2):
The image decoding method according to  claim 1 , wherein\n the reference frames include a first frame and a second frame, and in selecting the motion vector, a correlation between a region on the first frame and a region on the second frame is obtained for each of the motion vectors, the region on the first frame and the region on the second frame being indicated by the motion vector from a current small region included in the current frame, and the motion vector to be used is selected based on the correlations obtained for the motion vectors.

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): 0.4687049264570163
- 35 USC 102 Novelty (BERT): 0.4850269915541956
- Combined Prediction Score: 0.4703371329667342
- Mean Citation Score: 211.19406400000005
- Max Citation Score: 213.71596
- Similarity Product: 175.27423133790973

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

Dataset: test