PATENT CLAIM ANALYSIS

Application Number: 16148816
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["348", "047000"]

Abstract:
Systems and methods in accordance with embodiments of this invention perform depth regularization and semiautomatic interactive matting using images. In an embodiment of the invention, the image processing pipeline application directs a processor to receive (i) an image (ii) an initial depth map corresponding to the depths of pixels within the image, regularize the initial depth map into a dense depth map using depth values of known pixels to compute depth values of unknown pixels, determine an object of interest to be extracted from the image, generate an initial trimap using the dense depth map and the object of interest to be extracted from the image, and apply color image matting to unknown regions of the initial trimap to generate a matte for image matting.

Claim (Index 1):
An image matting system, comprising:\n at least one processor for executing sets of instructions; memory containing an image processing pipeline application; wherein the image processing pipeline application directs the processor to:\n receive (i) an image comprising a plurality of pixel color values for pixels in the \n image and (ii) an initial depth map corresponding to the depths of the pixels within the image; \n regularize the initial depth map into a dense depth map using depth values of known pixels to compute depth values of unknown pixels; \n determine an object of interest to be extracted from the image; \n generate an initial trimap using the dense depth map and the object of interest to be extracted from the image; and \n apply color image matting to unknown regions of the initial trimap to generate a matte for image matting.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.15873
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14642637', '15898666', '14500979', '14855827', '14317051']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6331295325335237
- 35 USC 102 Novelty (BERT): 0.6079684650282531
- Combined Prediction Score: 0.6306134257829966
- Mean Citation Score: 378.880078
- Max Citation Score: 582.8996
- Similarity Product: 467.3711302033424

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