Closed Captioning Keyword Detection for DVR Recording Automation
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Solution Overview
Problem
Users of digital video recording (DVR) systems face difficulties in locating and scheduling media content for recording due to the vast number of available channels and programs, leading to cumbersome and time-consuming processes that often result in missed viewing opportunities.
Innovation Solution
A closed captioning content-based DVR system that receives user-input keywords, detects these keywords within closed captioning content associated with media content instances, and automatically performs recording operations, allowing users to efficiently record media content related to their interests even if the keywords are not in the title or metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually locate and schedule media content for recording in a DVR system with hundreds or thousands of channels, then recording capability is provided, but the process becomes cumbersome and time-consuming, leading to missed viewing opportunities
Solution Approach 1:
The system performs preliminary actions by continuously monitoring closed captioning content and pre-identifying media content that matches user interests before the user needs to record it. The system detects keywords in closed captions, automatically identifies relevant programs, and prepares recording schedules in advance, eliminating the need for users to manually search through hundreds of channels at the moment they want to record something.
2Adaptability or versatility
If the number of available media content channels is expanded to provide variety, then media content choices increase, but it becomes more difficult for users to locate content that actually interests them
Solution Approach 1:
The system introduces closed captioning content as an intermediary medium to bridge the gap between users and the vast array of available media content. Instead of directly searching through hundreds of channels and program titles, users provide keywords that the system uses to search within closed captions, which serve as a searchable index across all available content, making the large variety of content manageable and searchable.
Solution Approach 2:
The system adds a new search dimension by utilizing closed captioning text content as an additional layer for content identification. Rather than relying solely on traditional metadata like titles and descriptions, the system creates a text-based search space within closed captions, allowing users to find content through keyword matching in the actual program content transcripts, effectively adding a new dimension to the content discovery process.
Data Source
AI summary
An exemplary method includes a digital video recording system receiving input representative of one or more keywords from a user of a media content service, detecting the one or more keywords within closed captioning content associated with a media content instance available for access by the user by way of the media content service, and performing, in response to the detecting, one or more recording operations with respect to the media content instance. Corresponding methods and systems are also disclosed.