PATENT CLAIM ANALYSIS

Application Number: 15932978
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["348", "745000"]

Abstract:
A system and method are disclosed for exhibiting wide-screen motion pictures, including in multiplex-style theaters, with an immersive, “virtual reality” picture-dominance effect not previously obtainable in such theaters. The invention uses a zero-gain or nominal-gain curved screen to accommodate a wide-screen presentation, and a digital projector capable of delivering fourteen foot-lamberts or more of light to the screen. It can support any theatrical aspect ratio for presentation, including 2.76:1. To eliminate image distortion, the invention uses mapping software to correct the image for the geometry of the auditorium and the shape of the screen. This correction is established for every aspect ratio displayed in the auditorium in which the invention is installed, and aspect ratios can be changed to display content with different aspect ratios during a program. The images delivered to viewers through the invention deliver the full benefit of the native aspect ratio in which they are displayed.

Claim (Index 6):
The method as in  claim 5 , in which said projector uses Digital Light Processing (DLP) chip technology, capable of accommodating any motion-picture exhibition format.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 1.73684
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11796411', '13815327', '13013095', '11494686', '10839665']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6359575351400504
- 35 USC 102 Novelty (BERT): 0.5140361326382549
- Combined Prediction Score: 0.6237653948898708
- Mean Citation Score: 255.941332
- Max Citation Score: 296.7687
- Similarity Product: 210.12520675882104

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