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 15):
A method for enhancing quality of media transmitted via network, comprising:\n executing a first application in a server; said first application generating a plurality of raw images according to at least one command; said raw images being compressed by an encoder of the server to form a plurality of encoded images; executing a second application in a client device remote from the sever; the second application being relevant to and cooperative with the first application in such a manner that, the client device being operable by a user to generate said command; said client device transmitting said command to the server via a network, and retrieving said encoded images from the server via the network according to the command; said client device decoding said encoded images into a plurality of decoded images, and using an artificial intelligence (\u201cAI\u201d) enhance module to enhance qualities of said decoded images in order to generate a plurality of enhanced images; wherein said AI enhance module processes said decoded images by using at least one algorithm which is defined by analyzing differences between said decoded images and said raw images in such a manner that, said enhanced images are visually more similar to the raw images than the decoded images do; and said client device outputting said enhanced images as displayed output images; wherein: said at least one algorithm of the AI enhance module of the client device comprises a plurality of weighted parameters; said weighted parameters are depending from the differences between said decoded images and said raw images; the raw images generated by the first application are divided into a plurality of scene-modes, each said scene-mode includes a plurality of said raw images; the weighted parameters are divided into a plurality of sets, each set includes a plurality of said weighted parameters and is corresponding to one of the scene-mode; in the step of said client device using said AI enhance module to enhance qualities of said decoded images in order to generate a plurality of enhanced images, said decoded images corresponding to raw images of different said scene-modes are processed by the same AI enhance module by using weighted parameters of different said sets that are corresponding to the scene-modes.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 100.0
- Lexical Diversity: 1.94915
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16027022', '15417056', '15871945', '15703896', '16254448']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2092001200277018
- 35 USC 102 Novelty (BERT): 0.6155333513485677
- Combined Prediction Score: 0.2498334431597884
- Mean Citation Score: 245.868822
- Max Citation Score: 533.9403
- Similarity Product: 530.1233936670363

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