PATENT CLAIM ANALYSIS

Application Number: 16003049
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["725", "014000"]

Abstract:
The present disclosure provides a computer-implemented method and system for progressive penalty and reward based ad scoring for real time supervised detection of televised video ads in televised media content. The method includes reception of the media content and selection of a set of frames per second from the media content. The method includes extraction of key points from each selected frame and derivation of binary descriptors from extracted key points. The method includes assignment of weight value to each binary descriptor and creation of a special pyramid of the binary descriptors. The method includes obtaining a first vocabulary of binary descriptors for each selected frame and accessing a second vocabulary of binary descriptors. The method includes comparison of each binary descriptor in the first vocabulary with binary descriptors in second vocabulary. The method includes progressively scoring each selected frame of the media content for detection of a first ad.

Claim (Index 8):
The computer-implemented method as recited in  claim 1 , wherein the first ad from the live stream of the media content is detected in a detection period, wherein the detection period is in a range of 0.6 second to 1 second and wherein the detection period is equivalent to receiving of two frames of the first ad.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 94.0
- Lexical Diversity: 2.53226
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13132597', '12841078', '14414048', '13041457', '14903590']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4084377905806831
- 35 USC 102 Novelty (BERT): 0.5110485742462997
- Combined Prediction Score: 0.4186988689472448
- Mean Citation Score: 190.335102
- Max Citation Score: 210.71948
- Similarity Product: 128.24661787792206

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

Dataset: test