Timed Text Analysis for Future Program Recording
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users are limited in recording TV programs as they need to search for shows in an electronic program guide, and if a program is not listed, it cannot be scheduled for recording, especially for future programs not yet included in the guide.
Innovation Solution
Analyzing Timed Text data accompanying audiovisual content to detect future programs and generating a tag for scheduling recordings, allowing for automatic or user-initiated recording even if the program is not yet in the electronic program guide.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users rely on the electronic program guide to schedule recordings, then they can record programs that are listed in the guide, but they cannot record future programs that are not yet included in the guide
Solution Approach 1:
The system performs preliminary extraction of future program information from Timed Text data before the programs are officially added to the electronic program guide. By detecting and storing program identifiers, titles, and air times in advance from promotional content, the system enables users to schedule recordings of future programs earlier than traditional EPG-based systems allow.
2Ease of operation
If users manually search for programs in the electronic program guide, then they can find and record listed programs, but the process is time-consuming and programs not in the guide cannot be found
Solution Approach 1:
The system automatically extracts program information from Timed Text data without requiring user initiation or manual searching. The television receiver autonomously detects future programs, generates tags with program details, and makes them available for recording, thereby eliminating the time users would otherwise spend searching through the electronic program guide.
3Adaptability or versatility
If the system analyzes Timed Text data to detect future programs, then users can record programs not yet in the guide, but the system complexity increases
Solution Approach 1:
The system uses Timed Text data as an intermediary carrier that already contains structured program information (identifiers, titles, air times) embedded within promotional content. Rather than implementing complex image or audio analysis, the system extracts information from this existing structured data format, reducing system complexity while enabling future program detection.
Data Source
AI summary
Embodiments are directed towards analyzing content, such as Timed Text data that separately accompanies program content, to detect a future program. When a future program is detected in the content, a tag or other data structure is generated with identifying information for the future program. The tag is stored and later used to schedule a recording for the future program. An electronic program guide may be analyzed based on the identifying information in the tag to determine if the future program has been added to the electronic program guide.


