Content Navigation System for Advertising Detection
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Solution Overview
Problem
Users face frustration when navigating channels on electronic devices as they cannot easily distinguish between program content and advertising content, leading to unintended viewing of commercial breaks.
Innovation Solution
An electronic device system that identifies and differentiates between program content and advertising content, allowing users to navigate channels based on this information, using multiple tuners to review channels and adjust outputs accordingly, and providing a programming guide that marks channels with advertising content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually navigate channels using fast-forward technology, then they can skip some content, but they cannot distinguish between program content and advertising content, leading to unintended viewing of commercial breaks
Solution Approach 1:
The system performs preliminary detection of advertising content on target channels before the user completes the channel change. By using multiple tuners to preemptively scan the content type of the destination channel, the system provides advance information about whether the channel is showing ads or program content, allowing users to make informed navigation decisions without having to manually fast-forward through content to discover it's an advertisement.
2Reliability
If the system detects advertising content on channels, then users can avoid commercial breaks, but the channel switching process becomes more complex
Solution Approach 1:
The system uses multiple tuners that serve dual purposes: they function as part of the channel switching mechanism and simultaneously perform advertising content detection on target channels. This multi-functionality allows the same hardware resources to handle both channel navigation and content analysis, avoiding the need for separate dedicated detection equipment and thereby reducing overall system complexity despite the enhanced detection capability.
3Loss of information
If the system uses multiple tuners to review channels before switching, then users can make informed channel selection, but the device complexity increases
Solution Approach 1:
The system introduces a content analysis module that acts as an intermediary between the multiple tuners and the user interface. This mediator processes the raw video/audio signals from the tuners, identifies advertising content using pattern recognition algorithms, and presents simplified information to the user. The intermediary layer abstracts the complexity of multiple tuner coordination and content analysis, making the system manageable despite having multiple tuners for simultaneous channel review.
Data Source
AI summary
Systems and methods for aiding user content navigation are described. An exemplary system may include an electronic device configured to receive audiovisual content and/or user inputs. The electronic device may additionally include one or more outputs coupled with a display device. The electronic device may further include one or more processors as well as memory, which when executed by the one or more processors, cause them to perform one or more navigation functions to receive a channel change command to adjust from a first channel to a second channel. The one or more processors may further be caused to determine that the second channel is presenting advertising content instead of program content, and determine that a third channel is presenting program content. The one or more processors may further be caused to adjust the output to the third channel.