PATENT CLAIM ANALYSIS

Application Number: 15874243
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["348", "047000"]

Abstract:
A video frame processing method, which comprises: (a) capturing at least one first video flame via a first camera; (b) capturing at least one second video frame via a second camera; and (c) adjusting one candidate second video frame of the second video frames based on one of the first video frame to generate a target single view video frame.

Claim (Index 13):
The video frame processing method of  claim 1 , wherein the target single view video frame further corresponds to a viewing perspective of the first video frame, wherein generating the target video frame comprising:\n selecting the first video frame as the target single view video frame when image quality of the first video frame is better than a quality threshold; and generating the target single view video frame by adjusting the first video frame or the second video frame when the image quality of the first video frame is not better than the quality threshold, including:\n interpolating the first video frame and another video frame captured via the first camera to generate a third video frame, and \n adjusting the second video frame based the third frame to generate the target single view video frame.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.86842
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14221260', '14221229', '10880774', '15597959', '12267504']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.621751558311764
- 35 USC 102 Novelty (BERT): 0.5380230616711036
- Combined Prediction Score: 0.613378708647698
- Mean Citation Score: 222.38351000000003
- Max Citation Score: 378.28098
- Similarity Product: 324.58060853655337

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