PATENT CLAIM ANALYSIS

Application Number: 16376711
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["725", "025000"]

Abstract:
An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.

Claim (Index 1):
A computing device for providing information on a video, the computing device comprising:\n a memory comprising an artificial intelligence model trained with a plurality of videos; and at least one processor operatively coupled to the memory and configured to:\n receive a video from an external device, \n obtain a plurality of scores corresponding to a plurality of categories, by applying the artificial intelligence model trained with the plurality of videos to the received video, wherein the plurality of categories are related to whether a video has harmful content, and are different from each other, \n determine whether the received video has harmful content based on at least one of the obtained plurality of scores and at least one of a plurality of corresponding predetermined thresholds, and \n provide a portion having harmful content of the received video, based on the determining that the received video has harmful content, \n wherein each of the plurality of scores corresponds to each of the plurality of categories, respectively, and each of the plurality of thresholds corresponds to each of the plurality of categories, respectively.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 100.0
- Lexical Diversity: 1.7013
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15813752', '15848473', '16294339', '15848967', '15812123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3856522247538485
- 35 USC 102 Novelty (BERT): 0.5346322675194323
- Combined Prediction Score: 0.4005502290304069
- Mean Citation Score: 207.387926
- Max Citation Score: 340.86835
- Similarity Product: 209.5377952757985

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