PATENT CLAIM ANALYSIS

Application Number: 15980495
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["348", "345000"]

Abstract:
An apparatus and method for improving camera depth estimations for a moving subject in the camera field of view. The camera utilizes a generative adversarial network (GAN) to predict future frames from a current frame(s). These predicted future frames are then utilized as a target for determining a depth map from which lens focusing direction and distance are determined for moving the camera into proper focus and thus reducing focusing errors on captured frames as target and/or camera motion progresses.

Claim (Index 8):
The method as recited in  claim 6 , wherein method is configured for performing auto focusing in which the focus device coupled to the image sensor is adjusted based on estimated focus distance, and another image is captured, after which focus distance estimation is again performed with the new depth, and repeating this process to maintain a proper focus on the selected target region.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 93.0
- Lexical Diversity: 1.46667
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14675287', '13077677', '13350285', '12643802', '13609155']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6318020768814377
- 35 USC 102 Novelty (BERT): 0.4755952587642202
- Combined Prediction Score: 0.6161813950697159
- Mean Citation Score: 160.67146199999996
- Max Citation Score: 173.27358999999996
- Similarity Product: 128.27373632949292

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