PATENT CLAIM ANALYSIS

Application Number: 16133240
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["382", "195000"]

Abstract:
The present invention relates to an advertisement detection system based on fingerprints, and provides an advertisement detection systems based on fingerprints, including a content stream storage unit for storing broadcast content in real time, a section selection unit for selecting a reference section and a test section from broadcast content stored by the content stream storage unit, a fingerprint extraction unit for extracting fingerprints from the reference section and the test section selected by the section selection unit using one or more methods, a fingerprint matching unit for comparing the fingerprints from the test section and the reference section, extracted by the fingerprint extraction unit, with each other and then performing matching between the fingerprints, an advertisement section determination unit for determining advertisement segments from the test section based on results of the matching performed by the fingerprint matching.

Claim (Index 9):
The method of  claim 1 , wherein storing segment information about the determined advertisement segments in an advertisement database comprises storing pieces of time information about start points of reference sections corresponding to the determined advertisement segments in advertisement segment history.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 2.3871
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15228243', '14122674', '14740234', '15427960', '13639834']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3410904668433397
- 35 USC 102 Novelty (BERT): 0.5489094070561719
- Combined Prediction Score: 0.361872360864623
- Mean Citation Score: 291.073884
- Max Citation Score: 394.2385
- Similarity Product: 309.38833821904666

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

Dataset: test