PATENT CLAIM ANALYSIS

Application Number: 15754694
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["375", "240120"]

Abstract:
A method and apparatus of video coding incorporating Deep Neural Network are disclosed. A target signal is processed using DNN (Deep Neural Network), where the target signal provided to DNN input corresponds to the reconstructed residual, output from the prediction process, the reconstruction process, one or more filtering processes, or a combination of them. The output data from DNN output is provided for the encoding process or the decoding process. The DNN can be used to restore pixel values of the target signal or to predict a sign of one or more residual pixels between the target signal and an original signal. An absolute value of one or more residual pixels can be signalled in the video bitstream and used with the sign to reduce residual error of the target signal.

Claim (Index 19):
The method of  claim 18 , wherein the multiple DNN inputs correspond to the reconstructed residual and the prediction signal, and the DNN provides the reconstructed picture as the DNN output for said at least one filtering process.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 88.0
- Lexical Diversity: 2.04286
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15034125', '16084778', '14348660', '14397146', '15040913']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5586788715338514
- 35 USC 102 Novelty (BERT): 0.5227780344446205
- Combined Prediction Score: 0.5550887878249284
- Mean Citation Score: 316.397076
- Max Citation Score: 332.75894
- Similarity Product: 241.94188992886305

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

Dataset: test