PATENT CLAIM ANALYSIS

Application Number: 15937583
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["348", "049000"]

Abstract:
Stereoscopic image processing methods and apparatus are described. Left and right eye images of a stereoscopic frame are examined to determine if one or more difference reduction operations designed to reduce the luminance and/or chrominance differences between the left and right frames is within a range used to trigger a difference reduction operation. A difference reduction operation may involve assigning portions of the left and right frames to different depth regions and/or other region categories. A decision on whether or not to perform a difference reduction operation is then performed on a per regions basis with at the difference between the left and right eye portions of at least one region being reduced when a difference reduction operation is to be performed. The difference reduction process may, and in some embodiments is, performed in a precoder which processes left and right eye images of stereoscopic frames prior to stereoscopic encoding.

Claim (Index 19):
The apparatus of  claim 18 , wherein said determination module is further configured to determine that said overall disparity value is in the first difference range, when a result of a comparison performed by said comparison module indicates that said first overall disparity value is above said first threshold and below said second threshold.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 1.93827
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14954590', '13744400', '13126966', '13533465', '15090465']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6820614219989182
- 35 USC 102 Novelty (BERT): 0.5609265256573733
- Combined Prediction Score: 0.6699479323647637
- Mean Citation Score: 323.60969
- Max Citation Score: 462.22598
- Similarity Product: 342.54771771966693

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