PATENT CLAIM ANALYSIS

Application Number: 15756193
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "190000"]

Abstract:
An image representation method and processing device based on local PCA whitening. A first mapping module maps words and characteristics to a high-dimension space. A principal component analysis module conducts principal component analysis in each corresponding word space, to obtain a projection matrix. A VLAD computation module computes a VLAD image representation vector; a second mapping module maps the VLAD image representation vector to the high-dimension space. A projection transformation module conducts projection transformation on the VLAD image representation vector obtained by means of projection. A normalization processing module conducts normalization on characteristics obtained by means of projection transformation, to obtain a final image representation vector. An obtained image representation vector is projected to a high-dimension space first, then projection transformation is conducted on a projection matrix computed in advance and vectors corresponding to words, to obtain a low-dimension vector; and in this way, the vectors corresponding to the words are consistent. The disclosed method and the processing device can obtain better robustness and higher performance.

Claim (Index 9):
The processing device according to  claim 8 , wherein when the VLAD computation module computes the VLAD image representation vectors according to the vocabulary, the VLAD computation module is configured to perform mapping with a formula below:\n \u03c8 \u03ba ( x )= e i\u03c4 log x \u221a{square root over ( x sech(\u03c0\u03c4))}, where \u03c4 denotes the index of mapping.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.62319
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15063271', '15633679', '13084406', '14141612', '11418949']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3130575837760818
- 35 USC 102 Novelty (BERT): 0.5093598176884131
- Combined Prediction Score: 0.3326878071673149
- Mean Citation Score: 210.14636
- Max Citation Score: 232.61058
- Similarity Product: 152.62483551360012

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