PATENT CLAIM ANALYSIS

Application Number: 16049322
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["382", "118000"]

Abstract:
Methods and systems for recognizing people in images with increased accuracy are disclosed. In particular, the methods and systems divide images into a plurality of clusters based on common characteristics of the images. The methods and systems also determine an image cluster to which an image with an unknown person instance most corresponds. One or more embodiments determine a probability that the unknown person instance is each known person instance in the image cluster using a trained cluster classifier of the image cluster. Optionally, the methods and systems determine context weights for each combination of an unknown person instance and each known person instance using a conditional random field algorithm based on a plurality of context cues associated with the unknown person instance and the known person instances. The methods and systems calculate a contextual probability based on the cluster-based probabilities and context weights to identify the unknown person instance.

Claim (Index 15):
In a digital medium environment for identifying an unknown person in an image, a system comprising:\n at least one processor; and at least one non-transitory computer-readable storage medium storing instructions thereon that, when executed by the at least one processor, cause the system to: train a cluster classifier for each image cluster of a plurality of image clusters comprising images from an image gallery based on a plurality of known person instances; determine an image cluster to which an image comprising a first unknown person instance most corresponds based on one or more characteristics of the image and common characteristics of the determined image cluster of the plurality of image clusters, the one or more characteristics of the image comprising one or more characteristics other than an identity of the unknown person instance; and determine a probability that the first unknown person instance is each known person instance in the determined image cluster using the cluster classifier of the determined image cluster; identify the first unknown person instance as a known person instance from the determined image cluster with a highest probability; update the cluster classifier for each image cluster of the plurality of image clusters based on the plurality of known person instances and the identification of the first unknown person instance as the known person instance from the determined image cluster with the highest probability; and identify a second unknown person instance as one of the known person instances based on the updated cluster classifiers.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.25714
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14945198', '15723144', '13167407', '14279184', '14308181']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2745191805105811
- 35 USC 102 Novelty (BERT): 0.5839790349558154
- Combined Prediction Score: 0.3054651659551045
- Mean Citation Score: 250.39801
- Max Citation Score: 467.1596
- Similarity Product: 443.70262587547296

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

Dataset: test