PATENT CLAIM ANALYSIS

Application Number: 15899331
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["375", "240180"]

Abstract:
A method for video compression through image processing and object 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, comprises 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 selected 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 selected features; combining all said normalized complex vectors to define a model of the content to be identified; and inputting that model from said selected features in a classifier, therefore obtaining the data for object detection or visual saliency to use for video compression.

Claim (Index 9):
The method of video compression according to  claim 1 , wherein the result of the index is taken by separately calculating the 1D output for the row and column at the index and then combining this into a single value.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.66972
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15899301', '14247589', '14426821', '11011780', '10190286']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4334648401580501
- 35 USC 102 Novelty (BERT): 0.519585168676234
- Combined Prediction Score: 0.4420768730098686
- Mean Citation Score: 190.33177
- Max Citation Score: 299.15793
- Similarity Product: 232.1438501844549

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