PATENT CLAIM ANALYSIS

Application Number: 15939098
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["375", "240160"]

Abstract:
A method, computer readable medium, and system are disclosed for action video generation. The method includes the steps of generating, by a recurrent neural network, a sequence of motion vectors from a first set of random variables and receiving, by a generator neural network, the sequence of motion vectors and a content vector sample. The sequence of motion vectors and the content vector sample are sampled by the generator neural network to produce a video clip.

Claim (Index 14):
The system of  claim 13 , wherein a number of frames in the video clip differs from a number of frames in the additional video clip.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 1.97674
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15836549', '15402128', '15926787', '15660719', '15907497']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.466429106990248
- 35 USC 102 Novelty (BERT): 0.5127665240895319
- Combined Prediction Score: 0.4710628487001764
- Mean Citation Score: 151.00793199999995
- Max Citation Score: 166.60431
- Similarity Product: 83.52839909167349

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