PATENT CLAIM ANALYSIS

Application Number: 16282856
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["348", "333120"]

Abstract:
Electronic devices are often equipped with a camera for capturing video content and/or a display for displaying video content. However, amateur users often capture video content without regard to composition, framing, or camera movement, resulting in video content that can be jarring or confusing to viewers. There is a need to automate the processing and presentation of video content in an aesthetically pleasing manner. The embodiments described herein provide a method of automatically cropping video content for presentation on a display.

Claim (Index 9):
A first electronic device comprising:\n one or more processors; and memory storing instructions, which when executed by the one or more processors, cause the first electronic device to perform a method comprising: displaying, on a display, video content corresponding to a video call including the first electronic device and a second electronic device, wherein the video content includes a first subject; and while displaying the video content including the first subject:\n in accordance with a determination that the first subject is active, emphasizing the first subject on the display; and \n in accordance with a determination that the first subject is inactive, deemphasizing the first subject on the display.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 99.0
- Lexical Diversity: 1.53448
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14850677', '13335838', '15231745', '14861759', '16109552']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.556765084242704
- 35 USC 102 Novelty (BERT): 0.4771026780121091
- Combined Prediction Score: 0.5487988436196445
- Mean Citation Score: 148.85200600000005
- Max Citation Score: 204.74884
- Similarity Product: 152.60730302523135

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

Dataset: test