PATENT CLAIM ANALYSIS

Application Number: 15974428
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-05
Patent Classification: ["348", "047000"]

Abstract:
A method of adjusting depth in a stereoscopic video may include generating a left-eye viewing frame of a stereoscopic video. The left-eye viewing frame may include a plurality of left-eye viewing frame elements. The method may also include generating a right-eye viewing frame of the stereoscopic video. The right-eye viewing frame may correspond to the left-eye viewing frame and may include a plurality of right-eye viewing frame elements. Further, each right-eye viewing frame element may correspond to one of the left-eye viewing frame elements. The method may additionally include determining an offset between each right-eye viewing frame element and its corresponding left-eye viewing frame element. Further, the method may include applying a uniform summing factor to each offset to uniformly shift by substantially the same amount each right-eye viewing frame element with respect to its corresponding left-eye viewing frame element such that a perceived focus point is adjusted.

Claim (Index 9):
The method of  claim 8 , further comprising:\n determining at least one of a fastest moving element, a slow moving element, and a dominant element associated with the first frame and the second frame; and determining at least one of the foreground and the background based on at least one of the fastest moving element, the slow moving element, and the dominant element associated with the first frame and the second frame.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 93.0
- Lexical Diversity: 2.80357
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14301140', '14301132', '14301128', '14301146', '14301143']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7298649593876756
- 35 USC 102 Novelty (BERT): 0.6085070513792579
- Combined Prediction Score: 0.7177291685868339
- Mean Citation Score: 504.62396000000007
- Max Citation Score: 550.0798
- Similarity Product: 518.0710891990303

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test