PATENT CLAIM ANALYSIS

Application Number: 15944501
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["375", "240160"]

Abstract:
An apparatus comprises: a memory; and a processor coupled to the memory and configured to: obtain candidate MVs corresponding to neighboring blocks that neighbor a current block in a video frame, generate a candidate list of the candidate MVs, select final MVs from the candidate list, and apply constraints to the final MVs or a transformation to obtain constrained MVs. An apparatus comprises: a memory; and a processor coupled to the memory and configured to: obtain candidate MVs corresponding to neighboring blocks that neighbor a current block in a video frame, generate a candidate list of the candidate MVs, apply constraints to the candidate MVs or a transformation to obtain constrained MVs, and select final MVs from the constrained MVs.

Claim (Index 16):
The apparatus of  claim 12 , wherein the constraints provide that a first quantity is less than or equal to a second quantity, wherein the first quantity is based on a first width of a transformed block, a length of an interpolation filter, and a first height of the transformed block, and wherein the second quantity is based on a threshold, a second width of the current block, and a second height of the current block.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 91.0
- Lexical Diversity: 3.4359
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15857379', '16083662', '15754721', '15772876', '15725052']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5119836330196845
- 35 USC 102 Novelty (BERT): 0.4823335076305649
- Combined Prediction Score: 0.5090186204807726
- Mean Citation Score: 220.497338
- Max Citation Score: 238.51253
- Similarity Product: 206.53642533061029

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