PATENT CLAIM ANALYSIS

Application Number: 16154506
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["348", "054000"]

Abstract:
A method for creating multiple viewpoint images for an image frame. The method includes receiving by a processing element a left eye image and a right eye image, wherein the left eye image and right eye image comprise a stereoscopic image pair. Once the images are received, the method includes determining by the processing element a first viewing location corresponding to the left eye image and a second viewing location corresponding to the right eye image and determining by the processing element a plurality of new viewpoint locations using the first viewing location and the second viewpoint location.

Claim (Index 6):
A computing device comprising:\n a screen for displaying a visual output; at least one sensor for detecting a first user input to the computing device; and a processing element in communication with the screen and the at least one sensor; wherein in response to the first user input;\n the screen displays a first viewpoint image of a predetermined frame of content; \n the processing element determines an adjustment to a viewpoint of the first viewpoint image based on the user input to generate a second viewpoint; \n the processing element determines a second viewpoint image generated from the frame of content including peripheral content based on the first viewpoint image, wherein the peripheral content includes an edge object included in the first frame and not visible in the first viewpoint image; and \n the screen displays a second viewpoint image having the second viewpoint and including the edge object corresponding to the peripheral content.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 97.0
- Lexical Diversity: 2.39535
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14285240', '12571412', '12571406', '14719118', '12650687']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6882648091580519
- 35 USC 102 Novelty (BERT): 0.5496308774350699
- Combined Prediction Score: 0.6744014159857538
- Mean Citation Score: 315.768234
- Max Citation Score: 428.9581
- Similarity Product: 325.31605455467104

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