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 14):
A system comprising:\n one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:\n receiving a query image; \n generating a representation of the query image; \n identifying multiple image clusters that correspond to the query image; \n identifying multiple image search servers that correspond to the multiple image clusters that correspond to the query image; \n sending the representation of the query image to each of the multiple image search servers that correspond to the multiple image clusters that correspond to the query image; \n receiving, from each of the multiple image search servers that correspond to the multiple image clusters that correspond to the query image, data representing one or more result images; and \n providing a response to the query image based on at least one of the result images.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 94.0
- Lexical Diversity: 1.94667
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13570435', '12632681', '13621039', '10949708', '12876077']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2181469792867821
- 35 USC 102 Novelty (BERT): 0.5630719879727814
- Combined Prediction Score: 0.252639480155382
- Mean Citation Score: 311.05940400000014
- Max Citation Score: 460.34174
- Similarity Product: 397.8763899126602

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