PATENT CLAIM ANALYSIS

Application Number: 15928937
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["386", "278000"]

Abstract:
Aspects of the present disclosure aim to improve upon methods and systems for the incorporation of additional material into source video data. In particular, the method of the present disclosure may use a pre-existing corpus of source video data to produce, test and refine a prediction model for enabling the prediction of the characteristics of placement opportunities. The model may be created using video analysis techniques which obtain metadata regarding placement opportunities and also through the identification of categorical characteristics relating to the source video which may be provided as metadata with the source video, or obtaining through image processing techniques described below. Using the model, the method and system may then be used to create a prediction of insertion zone characteristics for projects for which source video is not yet available, but for which information corresponding to the identified categorical characteristics is known.

Claim (Index 12):
The method according to  claim 1 , wherein at least one of the following applies:\n (a) determining insertion zone metadata is further based on client user preference data; (b) obtaining an insertion value associated with a categorical variable comprises identifying a categorical variable present in source video, utilising one or more of: facial recognition technology, optical character recognition, computer vision techniques, manual annotation, convolutional neural network processing;

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 1.9125
- Patent Class: 386.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14553893', '12954766', '13688131', '14678780', '14091308']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5884979211369441
- 35 USC 102 Novelty (BERT): 0.476174896670824
- Combined Prediction Score: 0.5772656186903322
- Mean Citation Score: 124.661026
- Max Citation Score: 132.81667
- Similarity Product: 86.69437340718746

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