PATENT CLAIM ANALYSIS

Application Number: 16214875
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["725", "019000"]

Abstract:
A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the subdivided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.

Claim (Index 15):
A system comprising:\n one or more processors; one or more non-transitory machine-readable storage media containing instructions which when executed on the one or more processors, cause the one or more processors to perform operations including: receiving video data being displayed by a media system; generating a hash value associated with the video data, wherein generating the hash value includes performing a hashing function on one or more pixel values associated with a sample of the video data; determining a media database sector of a media database for searching reference video data, wherein the media database sector is determined by referencing one or more bits of the generated hash value; and searching the reference video data in the media database sector for one or more candidates for matching the video data.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 98.0
- Lexical Diversity: 1.58667
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14678856', '14217039', '15240815', '15240801', '14217075']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5175015361434925
- 35 USC 102 Novelty (BERT): 0.5864829657380458
- Combined Prediction Score: 0.5243996791029478
- Mean Citation Score: 400.772926
- Max Citation Score: 508.31738
- Similarity Product: 450.84923001782056

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

Dataset: test