PATENT CLAIM ANALYSIS

Application Number: 16126636
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["382", "255000"]

Abstract:
An electronic device and a method for human segmentation in an image are provided. The method includes obtaining the image comprising at least one human, performing face detection to detect the human in the image, generating a first human segmentation from the image by comparing a pre-defined full human body template and the detected human, generating a second human segmentation from the image, by inputting the image to an artificial intelligence trained model and obtaining a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation.

Claim (Index 19):
The electronic device of  claim 11 , wherein the artificial intelligence trained model is a trained model which is trained using at least one of a deep neural network (DNN), machine learning, neural network, deep learning, or classification algorithm.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.04
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12382683', '15297301', '12184685', '11350376', '15934410']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3439694857922004
- 35 USC 102 Novelty (BERT): 0.4851841421048388
- Combined Prediction Score: 0.3580909514234642
- Mean Citation Score: 159.045972
- Max Citation Score: 161.85852
- Similarity Product: 106.8191988548255

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