PATENT CLAIM ANALYSIS

Application Number: 16160855
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["345", "660000"]

Abstract:
Embodiments of the present invention provide systems, methods, and computer storage media directed at image synthesis utilizing sampling of patch correspondence information between iterations at different scales. A patch synthesis technique can be performed to synthesize a target region at a first image scale based on portions of a source region that are identified by the patch synthesis technique. The image can then be sampled to generate an image at a second image scale. The sampling can include generating patch correspondence information for the image at the second image scale. Invalid patch assignments in the patch correspondence information at the second image scale can then be identified, and valid patches can be assigned to the pixels having invalid patch assignments. Other embodiments may be described and/or claimed.

Claim (Index 3):
The one or more computer-readable storage media of  claim 2 , wherein the validity mask further indicates pixels located outside of the target region, the indication for pixels located outside of the target region being different from the indication for pixels having an invalid patch assignment and the indication for pixels having a valid patch assignment.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 1.91549
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15286245', '14945308', '15921457', '14185507', '15052552']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6296064280106429
- 35 USC 102 Novelty (BERT): 0.5408209595790241
- Combined Prediction Score: 0.620727881167481
- Mean Citation Score: 255.469522
- Max Citation Score: 369.16205
- Similarity Product: 368.15867795782094

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