PATENT CLAIM ANALYSIS

Application Number: 15913793
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["348", "077000"]

Abstract:
The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. The mobile image capture device is operable to input an image into at least one neural network and to receive at least one descriptor of the desirability of a scene depicted by the image as an output of the at least one neural network. The mobile image capture device is operable to determine, based at least in part on the at least one descriptor of the desirability of the scene of the image, whether to store a second copy of such image and/or one or more contemporaneously captured images in a non-volatile memory of the mobile image capture device or to discard a first copy of such image from a temporary image buffer without storing the second copy of such image in the non-volatile memory.

Claim (Index 31):
The system of  claim 21 , further comprising a user computing device communicatively coupled to the mobile image capture device, wherein the user computing device is configured to provide an interactive user interface that enables the user to edit the set of faces that have an elevated importance to the user.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 2.34848
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14984628', '14984683', '14984825', '14984869', '15233414']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6790675819301845
- 35 USC 102 Novelty (BERT): 0.5395334637207425
- Combined Prediction Score: 0.6651141701092403
- Mean Citation Score: 330.696436
- Max Citation Score: 407.87933
- Similarity Product: 275.6442051893044

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