PATENT CLAIM ANALYSIS

Application Number: 15742453
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["725", "116000"]

Abstract:
A method for accelerating channel changes from a previous channel to a new channel in a video decoding device is proposed. A salient idea is to monitor the time intervals between channel change events so as to detect when a user is looking forward quickly browsing a set of TV channels. The disclosed method comprises at least two operation modes: a normal operation mode and a burst operation mode. In case the time between two consecutive channel change events is below a first value, the disclosed method comprises operating the channel change into a burst operation mode, wherein operating the channel change in a burst operation mode comprises only a subset of the features comprised in operating the channel change in a normal operation mode.

Claim (Index 18):
The video decoding device, according to  claim 13 , wherein in case where the time between two channel change events is below said first value, and in case the processing of a received previous multimedia stream corresponding to said previous channel was in said first mode, said processor is further configured to stop generating said first plurality of information items to display in said banner describing said previous channel.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 1.97015
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11264132', '15294771', '13210230', '11811430', '12477782']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4076653314487503
- 35 USC 102 Novelty (BERT): 0.4888306974844149
- Combined Prediction Score: 0.4157818680523167
- Mean Citation Score: 155.23388400000005
- Max Citation Score: 167.19253999999995
- Similarity Product: 116.1117559158599

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

Dataset: test