PATENT CLAIM ANALYSIS

Application Number: 16119498
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["348", "207110"]

Abstract:
A contextual zoom control method, system, and computer program product, includes detecting faces in an area of interest when a user is performing an image capturing action, extracting a facial image for each of a set of key individuals attending an event where the user is performing the image capturing action, creating a ranked list of the set of key individuals according to a predetermined parameter of each key individual, pairing each detected face with a matching extracted facial image to label an identity of each key individual in the area of interest, and in a single individual capturing mode, performing a camera function to assist the user in performing the image capturing action on the identity that is paired with a highest ranked individual on the ranked list within the area of interest.

Claim (Index 6):
The computer-implemented method of  claim 5 , wherein, if the feedback indicates an inaccurate imaged individual, the method further comprise displaying a graphical user interface on the area of interest including each identity of the set of key individuals within the area of interest such that the user can select the identity of the set of key individuals on which to perform the camera function.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.2
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15401864', '15810241', '15190382', '15475762', '15977394']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5599135939965006
- 35 USC 102 Novelty (BERT): 0.5395918349193705
- Combined Prediction Score: 0.5578814180887877
- Mean Citation Score: 160.235445
- Max Citation Score: 357.5271
- Similarity Product: 249.29472385951283

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

Dataset: test