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 21):
A system for selective retention of images, the system comprising:\n a continuous capture mobile image capture device, the mobile image capture device comprising a network interface, a power source, an image sensor, at least one processor, and a memory that stores a machine-learned face recognition model usable to recognize faces depicted by images, the memory comprising at least a temporary image buffer and a non-volatile memory, the memory storing data descriptive of a set of faces that have an elevated importance to a user of the mobile image capture device, the mobile image capture device configured to:\n capture a first image that depicts one or more faces; \n maintain a first copy of the first image in the temporary image buffer; \n input the first image into the machine-learned face recognition model; \n receive an output of the machine-learned face recognition model that describes the one or more faces depicted by the first image and recognized by the machine-learned face recognition model; \n determine, based at least in part on the output of the machine-learned face recognition model, whether at least one of the one or more faces depicted by the first image is included in the set of faces that have elevated importance to the user; and \n determine, based at least in part on whether at least one of the one or more faces depicted by the first image is included in the set of faces that have elevated importance to the user, whether to store a second copy of the first image in the non-volatile memory of the mobile image capture device or to discard the first copy of the first image from the temporary image buffer without storing a second copy of the first image in the non-volatile memory.

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): 0.6766000097014714
- 35 USC 102 Novelty (BERT): 0.5436823059225683
- Combined Prediction Score: 0.6633082393235811
- Mean Citation Score: 330.696436
- Max Citation Score: 407.87933
- Similarity Product: 336.62630303653475

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