PATENT CLAIM ANALYSIS

Application Number: 15870608
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-02
Patent Classification: ["348", "043000"]

Abstract:
A system, article, and method of recurrent semantic segmentation for image processing by factoring historical semantic segmentation.

Claim (Index 13):
A computer-implemented system of semantic segmentation for image processing, comprising:\n at least one display; at least one memory at least one processor communicatively coupled to the display and the memory; and a semantic segmentation unit operated by the at least one processor and to operate by:\n obtaining a video sequence of frames of image data and comprising a current frame; \n recurrently generating a semantic segmentation map in a view of a current pose of the current frame and comprising obtaining data to form the semantic segmentation map from a 3D semantic segmentation model, wherein individual semantic segmentation maps are each associated with a different current frame from the video sequence; \n extracting historically-influenced semantic features of the semantic segmentation map; \n extracting current semantic features of the current frame; \n generating a current and historical semantically segmented frame comprising using both the current semantic features and the historically-influenced semantic features as input to a neural network that indicates semantic labels for areas of the current and historical semantically segmented frame; and \n semantically updating the 3D semantic segmentation model comprising using the current and historical semantically segmented frame.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.17647
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15081337', '15699221', '15458887', '13148173', '14724660']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6067625832560156
- 35 USC 102 Novelty (BERT): 0.4675021366711779
- Combined Prediction Score: 0.5928365385975319
- Mean Citation Score: 187.148944
- Max Citation Score: 204.50726
- Similarity Product: 175.24182751021385

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

Dataset: test