PATENT CLAIM ANALYSIS

Application Number: 15860930
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["382", "154000"]

Abstract:
The disclosure relates to an image processing apparatus for selecting a plurality of depth information values for a subset of currently processed fragments of a set of currently processed fragments of a currently processed digital image. The image processing apparatus includes a non-transitory memory storage comprising instructions and one or more hardware processors in communication with the memory storage. The one or more hardware processors execute the instructions to: process the currently processed fragments of the set of currently processed fragments in parallel; and process the currently processed fragments of the subset of currently processed fragments in parallel.

Claim (Index 13):
The image processing apparatus of  claim 11 , wherein each similarity measure of the plurality of similarity measures is a matching cost and each updated similarity measure of the plurality of updated similarity measures is an updated matching cost, and wherein the one or more hardware processors execute the instructions to select, for each fragment of the currently processed subsets of fragments, the depth information value for the fragment from the depth information value candidates associated with the plurality of similarity measures computed for the fragment that has the smallest weighted matching cost.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 86.0
- Lexical Diversity: 2.34091
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15860662', '12706245', '12032416', '14760236', '11754305']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2990121415902735
- 35 USC 102 Novelty (BERT): 0.5436564465569764
- Combined Prediction Score: 0.3234765720869438
- Mean Citation Score: 209.48127800000003
- Max Citation Score: 373.9745
- Similarity Product: 300.9028474947512

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