PATENT CLAIM ANALYSIS

Application Number: 15974576
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-09
Patent Classification: ["348", "441000"]

Abstract:
According to one implementation, a video processing system includes a computing platform having a hardware processor and a system memory storing a frame interpolation software code, the frame interpolation software code including a convolutional neural network (CNN) trained using a loss function having an image loss term summed with a phase loss term. The hardware processor executes the frame interpolation software code to receive first and second consecutive video frames including respective first and second images, and to decompose the first and second images to produce respective first and second image decompositions. The hardware processor further executes the frame interpolation software code to use the CNN to determine an intermediate image decomposition corresponding to an interpolated video frame for insertion between the first and second video frames based on the first and second image decompositions, and to synthesize the interpolated video frame based on the intermediate image decomposition.

Claim (Index 8):
The video processing system of  claim 6 , wherein convolutional processing blocks corresponding to lower resolution levels of the complex-valued steerable pyramid are trained independently of convolutional processing blocks corresponding to higher resolution levels of the complex-valued steerable pyramid.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 93.0
- Lexical Diversity: 2.37879
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14884046', '15876011', '15861596', '15971563', '14531548']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5359625325057609
- 35 USC 102 Novelty (BERT): 0.5189939223200731
- Combined Prediction Score: 0.5342656714871921
- Mean Citation Score: 145.4808
- Max Citation Score: 172.82158
- Similarity Product: 88.1965041601634

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

Dataset: test