PATENT CLAIM ANALYSIS

Application Number: 16035199
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["375", "240160"]

Abstract:
In enhancement layer (EL) coding, the temporal candidate(s) may be derived the merge mode and the non-merge mode. Selection of the reference index of a current prediction unit (PU) and of the reference list of a co-located PU may be considered jointly when constructing the temporal candidate of EL for the merge mode. The selection(s) may be made such that a motion vector (MV) scaling operation may be avoided. A selected motion vector prediction candidate may be added to a merging candidate list in a position before that of a spatial motion vector prediction candidate. A selected motion vector prediction candidate may be added to the merging candidate list in place of a spatial motion vector prediction candidate.

Claim (Index 36):
A method of video coding, the method comprising:\n obtaining a reference picture list associated with a current prediction unit; obtaining a candidate reference picture list from a plurality of candidate reference picture lists associated with a co-located prediction unit that is co-located with the current prediction unit; determining that reference pictures in the reference picture list associated with the current prediction unit have the same picture order count (POC) values as reference pictures in the candidate reference picture list associated with the co-located prediction unit; and based on the determining, selecting the candidate reference picture list as a motion vector prediction reference picture list.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 95.0
- Lexical Diversity: 2.38596
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14781728', '13917538', '14107144', '13937130', '14037738']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5446980796438587
- 35 USC 102 Novelty (BERT): 0.6221427308432043
- Combined Prediction Score: 0.5524425447637933
- Mean Citation Score: 428.25215800000007
- Max Citation Score: 589.5527
- Similarity Product: 533.8533902679503

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

Dataset: test