PATENT CLAIM ANALYSIS

Application Number: 16376877
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2020-01
Patent Classification: ["709", "203000"]

Abstract:
A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Claim (Index 32):
The method of  claim 30 , wherein, in the step of said artificial neural network module accepting said training decoded images, the first neural network accepts and processes the training decoded images of YUV420 color coding format by using the following:\n the training decoded images comprise N channels, wherein N is an integer greater than 2; extracts Y-part data of the training decoded images; extracts UV-part data of the training decoded images, and uses two-times amplified first neural network to process the UV-part data of the training decoded images in order to generate UV-part output data with N\u22121 channels; concatenates the Y-part data and the UV-part output data in order to generate the training output images.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 100.0
- Lexical Diversity: 1.94915
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16027022', '15417056', '15871945', '15703896', '16254448']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2337408276174007
- 35 USC 102 Novelty (BERT): 0.603793564766832
- Combined Prediction Score: 0.2707461013323438
- Mean Citation Score: 245.868822
- Max Citation Score: 533.9403
- Similarity Product: 468.0607379289866

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