PATENT CLAIM ANALYSIS

Application Number: 15946693
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["382", "103000"]

Abstract:
Described is a system for detecting salient objects in images. During operation, the system maps an input image into a frequency domain having a spectral magnitude. The spectral magnitude is replaced with weights from a weight matrix W. The frequency domain is then transformed with the weights to a saliency map in the image domain, the saliency map having pixels with pixel values. A squaring operation is then performed on the saliency map by squaring the pixel values to generate a pixel-value altered saliency map. A final saliency map is generated by filtering the pixel-value altered saliency map. A number of devices may then be operated based on the saliency map.

Claim (Index 19):
The method as set forth in  claim 17 , further comprising operations of:\n designating a region within the final saliency map as an object; and causing an autonomous vehicle to perform a maneuver to avoid collision with the object.

Metadata:
- Claim Count in Document: 46.0
- Percentile: 91.0
- Lexical Diversity: 2.01695
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15272247', '14510000', '13403747', '14587802', '16070078']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3280858721897741
- 35 USC 102 Novelty (BERT): 0.5197880597446832
- Combined Prediction Score: 0.3472560909452651
- Mean Citation Score: 273.698468
- Max Citation Score: 320.67657
- Similarity Product: 225.85665157518983

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