PATENT CLAIM ANALYSIS

Application Number: 15924499
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["348", "218100"]

Abstract:
The invention generates an image having a sense of speed in conformity with each of a plurality of subjects in an image so as to generate an image in which a subject that the user wishes is made stationary. An apparatus comprises an acquiring unit which acquires a plurality of pieces of image data captured consecutively; an identifying unit which identifies a subject in the image data; and a generating unit which generates a first composite image in which at least two pieces of image data, among the plurality of pieces of image data, are composed in accordance with a motion of a first subject, and a second composite image in which at least two pieces of image data are composed in accordance with a motion of a second subject whose motion is different to the motion of the first subject.

Claim (Index 3):
The apparatus according to  claim 2 , wherein the generating unit, based on a motion vector of interest among the motion vectors extracted by the extracting unit, generates a plurality of pieces of composite image data by performing, for the number of extracted motion vectors, generation of composite image data by composing the reference image data and other image data so that a subject of interest is at the same position.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 90.0
- Lexical Diversity: 2.50847
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14286848', '12689395', '11913167', '15140181', '15646604']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6312852394071883
- 35 USC 102 Novelty (BERT): 0.474087939682521
- Combined Prediction Score: 0.6155655094347217
- Mean Citation Score: 161.17037800000003
- Max Citation Score: 179.17317
- Similarity Product: 136.6617349035895

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