PATENT CLAIM ANALYSIS

Application Number: 15927503
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["348", "239000"]

Abstract:
Systems, devices, and techniques related to selecting a key frame for burst image processing are discussed. Such techniques may include generating key frame scores for at least some frames of a multi-frame burst image capture such that the key frame scores include a combination of an image quality component, a shutter lag component, and a burst image processing latency component and selecting a frame having a maximum key frame score as the key frame.

Claim (Index 22):
The machine readable medium of  claim 20 , the machine readable medium comprising further instructions that, in response to being executed on the device, cause the device to perform burst image processing by, in response to the maximum or expected key frame score for the third frame not exceeding the maximum of the key frame scores of the first and second frames:\n selecting the frame corresponding to the maximum of the key frame scores of the first and second frames for use as the burst image processing key frame; and bypassing key frame score generation for remaining frames of the plurality of frames, wherein said combining is performed in parallel with an image capture of at least one of the remaining frames.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 90.0
- Lexical Diversity: 1.81818
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12069669', '14414048', '15478688', '15375999', '14793584']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5961422006621314
- 35 USC 102 Novelty (BERT): 0.4680973557966634
- Combined Prediction Score: 0.5833377161755847
- Mean Citation Score: 133.040724
- Max Citation Score: 143.84093
- Similarity Product: 103.5048498778492

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