PATENT CLAIM ANALYSIS

Application Number: 16199283
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["348", "159000"]

Abstract:
An approach for re-identifying an object in a test image is presented. Similarity measures between the test image and training images captured by a first camera are determined. The similarity measures are based on Bhattacharyya distances between feature representations of an estimated background region of the test image and feature representations of background regions of the training images. A transformed test image based on the Bhattacharyya distances has a brightness that is different from the test image's brightness and matches a brightness of training images captured by a second camera. An appearance of the transformed test image resembles an appearance of a capture of the test image by the second camera. Another image included in test images captured by the second camera is identified as being closest in appearance to the transformed test image and another object in the identified other image is a re-identification of the object.

Claim (Index 17):
The computer program product of  claim 13 , wherein the computer-readable program instructions, when executed by the CPU, determine weights of the first training images, the weights being determined as inversely proportional to the Bhattacharyya distances, and the weights corresponding to brightness transfer functions, wherein the computer-readable program instructions that transform the first test image include computer-readable program instructions that, when executed by the CPU, transform the first test image into the transformed first test image based in part on the weights and the brightness transfer functions.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.5
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15471595', '13647645', '15634499', '14790323', '10966769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6163180709525234
- 35 USC 102 Novelty (BERT): 0.5859628948560668
- Combined Prediction Score: 0.6132825533428778
- Mean Citation Score: 298.33274
- Max Citation Score: 467.33093
- Similarity Product: 450.5701299236334

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