PATENT CLAIM ANALYSIS

Application Number: 16386152
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["382", "118000"]

Abstract:
The present disclosure discloses a photo processing method and an apparatus for grouping photos into photo albums based on facial recognition results. The method includes: performing face detection on multiple photos, to obtain a face image feature set, each face image feature in the face image feature set corresponding to one of the multiple photos; determining a face-level similarity for each pair of face image features in the face image feature set; determining a photo-level similarity between each pair of photos in the multiple photos in accordance with their associated face-level similarities; generating a photo set for each target photo in the multiple photos, wherein any photo-level similarity between the target photo and another photo in the photo set exceeds a predefined photo-level threshold; and generating a label for each photo set using photographing location and photographing time information associated with the photos in the photo set.

Claim (Index 9):
The computing device according to  claim 8 , wherein the plurality of operations further comprise:\n selecting labels of the at least two photo sets to be combined into a combined photo album; and combining the identified labels into one label for the combined photo album.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 100.0
- Lexical Diversity: 2.34328
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15694162', '13628735', '13628820', '13098801', '11754933']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3555270091558917
- 35 USC 102 Novelty (BERT): 0.5516577991843659
- Combined Prediction Score: 0.3751400881587391
- Mean Citation Score: 259.32427399999995
- Max Citation Score: 411.9675
- Similarity Product: 341.5867164704204

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test