PATENT CLAIM ANALYSIS

Application Number: 15900095
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["084", "627000"]

Abstract:
When an instruction is provided for changing a characteristic of a set filter which includes a plurality of partial filters and forms a specified characteristic by combining a plurality of partial filters, a processor performs, as crossfading processing for a first filter and a second filter among the plurality of partial filters, fade-out processing of gradually decreasing a degree of contribution of the first filter to the characteristic and fade-in processing of gradually increasing a degree of contribution of the second filter to the characteristic. As a result, unnaturalness occurring at the time of changing filter characteristics is solved.

Claim (Index 2):
The filter characteristics changing device according to  claim 1 , wherein the processor takes a partial filter used for characteristic formation before the instruction as the first filter, takes a partial filter not used for the characteristic formation before the instruction and associated with the characteristic indicated by the instruction as the second filter, and performs the crossfading processing such that a partial filter contributing to the characteristic is switched from the first filter to the second filter.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 2.14286
- Patent Class: 84.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15109541', '13651154', '11982849', '15896293', '15264756']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6172552788705811
- 35 USC 102 Novelty (BERT): 0.4683066304872985
- Combined Prediction Score: 0.6023604140322528
- Mean Citation Score: 160.18571
- Max Citation Score: 166.60608
- Similarity Product: 118.7712074347687

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

Dataset: test