PATENT CLAIM ANALYSIS

Application Number: 15927854
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["375", "240160"]

Abstract:
Techniques related to decoder-side motion vector derivation (DMVD) are described. For example, this disclosure describes techniques related to applying one or more constraints to motion information, such as a motion vector (MV) derived by DMVD, and/or a MV difference between an initial MV and an MV derived by DMVD. When the constraint is applied to the DMVD, in certain examples, only the derived motion information which meets the constraint is regarded as valid motion information. Conditions may be placed on the constraints.

Claim (Index 8):
The method of  claim 1 , further comprising:\n determining that a first initial motion vector in a motion vector candidate list and a second initial motion vector in the motion vector candidate list satisfy at least one condition on a relationship between the first initial motion vector and the second initial motion vector, the relationship comprising: the first initial motion vector and the second initial motion vector are symmetric, the first initial motion vector and the second initial motion vector are pseudo symmetric, the first initial motion vector and the second initial motion vector have the symmetric motion vector difference, the first initial motion vector and the second initial motion vector are anti-symmetric, are the first initial motion vector and the second initial motion vector pseudo anti-symmetric, or the first initial motion vector and the second initial motion vector have the anti-symmetric motion vector difference, wherein generating the plurality of derived motion vectors is based on the first initial motion vector and the second initial motion satisfying the at least one condition.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 90.0
- Lexical Diversity: 1.69643
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15900649', '15927952', '15080478', '15277433', '15754721']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5162767559714992
- 35 USC 102 Novelty (BERT): 0.5247469316312039
- Combined Prediction Score: 0.5171237735374697
- Mean Citation Score: 312.5674180000001
- Max Citation Score: 347.49023
- Similarity Product: 257.6236240423846

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