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 1):
A method of video decoding for a video decoder, the method comprising:\n receiving a video bitstream corresponding to one or more pictures in a video sequence; decoding each picture using a decoding process comprising one or a combination of a residual decoding process to generate reconstructed residual from the video bitstream, a prediction process to generate a prediction signal related to each picture, a reconstruction process to generate a reconstructed picture from the reconstructed residual and the prediction signal, and at least one filtering process applied to the reconstructed picture; processing a target signal using DNN (Deep Neural Network), wherein the target signal provided to an DNN input corresponds to the reconstructed residual, an output from the prediction process, the reconstruction process or said at least one filtering process, or a combination thereof; and providing output data from an DNN output for the decoding process.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 88.0
- Lexical Diversity: 2.04286
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15034125', '16084778', '14348660', '14397146', '15040913']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5291982380791933
- 35 USC 102 Novelty (BERT): 0.5193504095415844
- Combined Prediction Score: 0.5282134552254324
- Mean Citation Score: 316.397076
- Max Citation Score: 332.75894
- Similarity Product: 254.3675600619149

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