PATENT CLAIM ANALYSIS

Application Number: 15871862
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "103000"]

Abstract:
Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

Claim (Index 40):
The method of  claim 34 , further comprising:\n determining regions within the determined saliency map corresponding to a negative detection parameter, wherein the negative detection parameter corresponds to regions within the saliency map where an object is known to not be present based on a reference or user input; and subtracting the negative detection parameter from the positive detection parameter in determining if the region of pixels exceeds the positive detection parameter threshold.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 86.0
- Lexical Diversity: 1.70408
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14637138', '14637164', '14637191', '14860579', '13710042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3867044008679754
- 35 USC 102 Novelty (BERT): 0.533468398936857
- Combined Prediction Score: 0.4013808006748636
- Mean Citation Score: 340.84979
- Max Citation Score: 385.15378
- Similarity Product: 233.5887311716974

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