PATENT CLAIM ANALYSIS

Application Number: 15863772
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["386", "244000"]

Abstract:
In various embodiments, a subtitle timing application detects timing errors between subtitles and shot changes. In operation, the subtitle timing application determines that a temporal edge associated with a subtitle does not satisfy a timing guideline based on a shot change. The shot change occurs within a sequence of frames of an audiovisual program. The subtitle timing application then determines a new temporal edge that satisfies the timing guideline relative to the shot change. Subsequently, the subtitle timing application causes a modification to a temporal location of the subtitle within the sequence of frames based on the new temporal edge. Advantageously, the modification to the subtitle improves a quality of a viewing experience for a viewer. Notably, by automatically detecting timing errors, the subtitle timing application facilitates proper and efficient re-scheduling of subtitles that are not optimally timed with shot changes.

Claim (Index 20):
The system of  claim 19 , wherein the timing guideline specifies at least one of a minimum frame gap and a minimum time gap between a shot change and the start of a subtitle when the start of the subtitle is not coincident with the shot change.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.29851
- Patent Class: 386.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12211488', '13125317', '10297692', '12713685', '14705205']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5965911494478078
- 35 USC 102 Novelty (BERT): 0.4949382697481582
- Combined Prediction Score: 0.5864258614778429
- Mean Citation Score: 153.82459
- Max Citation Score: 165.80174
- Similarity Product: 96.34110365932942

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

Dataset: test