PATENT CLAIM ANALYSIS

Application Number: 16394712
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["375", "240160"]

Abstract:
A motion estimation technique finds first and second candidate bi-directional motion vectors for a first region of an interpolated frame of video content by performing double ended vector motion estimation on the first region. One of these candidate bi-directional motion vectors is selected, and used to identify a remote region of the interpolated frame. This remote region is located at an off-set location from the first region, and is found based on an endpoint of the selected candidate bi-directional motion vector. A remote motion vector for the remote region of the interpolated frame is obtained, and one or more properties of this remote motion vector are used to bias a selection between the first and second candidate vectors.

Claim (Index 5):
The method according to  claim 3 , wherein the biasing further comprises at least one of:\n biasing the selected candidate motion vector to be more likely to be selected as an output vector if the one or more properties associated with the remote motion vector are within a predefined threshold of the one or more properties associated with the selected candidate motion vector; and biasing the selected candidate motion vector to be less likely to be selected as an output vector if the one or more properties associated with the remote motion vector differ from the one or more properties associated with the selected candidate motion vector by more than a predefined threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.23214
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14732406', '13563525', '14732450', '12932421', '11709665']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5319856298450817
- 35 USC 102 Novelty (BERT): 0.5567610024061033
- Combined Prediction Score: 0.5344631671011839
- Mean Citation Score: 272.582284
- Max Citation Score: 420.12457
- Similarity Product: 367.0015951396561

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