PATENT CLAIM ANALYSIS

Application Number: 15899301
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "103000"]

Abstract:
A method for content detection to be carried out by an electronic processing unit, based either on images or on a digital video stream of images, the images being defined by a single frame or by sequences of frames of said video stream, with the aim of enhancing and then isolating the frequency domain signals representing a content to be identified, and decreasing or ignoring the frequency domain noise with respect to the content within the images or the video stream, comprising the steps of: obtaining a digital image or a sequence of digital images from either a corresponding single frame or a corresponding sequence of frames of said video stream, all the digital images being defined in a spatial domain; selecting one or more pairs of sparse zones, each covering at least a portion of said single frame or at least two frames of said sequence of frames, each pair of sparse zones generating a feature, each zone being defined by two sequences of spatial data; transforming the selected features into frequency domain data by combining, for each zone, said two sequences of spatial data through a 2D variation of an L-transformation, varying the transfer function, shape and direction of the frequency domain data for each zone, thus generating a normalized complex vector for each of said features; combining all said normalized complex vectors to define a model of the content to be identified, usable as an input for a content classifier. The advantage being that current detection methods are given better input data, faster calculations and especially a much increased ability to generate models which capture temporal data in video streams.

Claim (Index 3):
The method of content detection according to  claim 1 , wherein a search logic is used on the full input image to generate an input frame where said sparse zones are identified.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.37903
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15899331', '14247589', '14426821', '12968881', '13344341']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2993134581236378
- 35 USC 102 Novelty (BERT): 0.5352503260187135
- Combined Prediction Score: 0.3229071449131454
- Mean Citation Score: 216.837954
- Max Citation Score: 350.91486000000015
- Similarity Product: 287.5232214858985

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

Dataset: test