PATENT CLAIM ANALYSIS

Application Number: 15996689
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-09
Patent Classification: ["707", "723000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributed nearest-neighbor search for image retrieval are disclosed. An example distributed image retrieval system includes a root server and a plurality of leaf servers. The root server controls the clustering of images in the image corpus, and determines the assignment of image clusters to a collection of leaf servers. Each leaf server is independently configured to perform a two-stage nearest-neighbor search in a locality-sensitive hash space for a received query image within the leaf server's assigned images clusters. Thus, the distributed image retrieval system is modular and amendable to tuning, modifications, duplication, and replacement on a per-server basis. In addition, the design of the image retrieval system allows flexible load balancing among the leaf servers.

Claim (Index 3):
The method of  claim 2 , wherein identifying multiple image search servers that correspond to the multiple image clusters that correspond to the query image, comprises:\n identifying, for each of the multiple image clusters that correspond to the query image, an image search server that is assigned to the image cluster.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 94.0
- Lexical Diversity: 1.94667
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13570435', '12632681', '13621039', '10949708', '12876077']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2374068232108704
- 35 USC 102 Novelty (BERT): 0.5702311936445963
- Combined Prediction Score: 0.270689260254243
- Mean Citation Score: 311.05940400000014
- Max Citation Score: 460.34174
- Similarity Product: 431.31893478204256

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

Dataset: test