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 25):
The non-transitory computer-readable storage medium of  claim 22 , wherein the determination of the saliency map further comprises:\n determination of areas of high saliency based on a pixel-wise combination of the at least one partition image.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 86.0
- Lexical Diversity: 1.70408
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14637138', '14637164', '14637191', '14860579', '13710042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4141170652485205
- 35 USC 102 Novelty (BERT): 0.536662347676082
- Combined Prediction Score: 0.4263715934912766
- Mean Citation Score: 340.84979
- Max Citation Score: 385.15378
- Similarity Product: 267.728545833137

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