Media Guidance Playback Point Filtering by Keyword and Context
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Solution Overview
Problem
Conventional media systems overwhelm users with numerous playback points for a media asset, making it difficult to find specific scenes of interest, such as those featuring a particular actor, due to the abundance of available content.
Innovation Solution
A media guidance application determines playback points in media assets based on both a keyword and the context of the current playback point, allowing users to input keywords and receive relevant playback points that match both the keyword and context, such as a scene with a specific actor during a car chase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems identify all playback points where a particular actor appears in a media asset, then the user can find scenes featuring that actor, but the number of playback points becomes overwhelming and difficult to choose from
Solution Approach 1:
The patent segments the search criteria into multiple dimensions: keyword matching (actor name) and context matching (scene description). This segmentation allows the system to divide the large set of all playback points into smaller, more manageable subsets based on different criteria, making it easier for users to find specific scenes without being overwhelmed by the total number of playback points.
Solution Approach 2:
The patent adds a new dimension to the search by introducing context information alongside keyword matching. Instead of searching only by actor name (one dimension), the system now searches by both keyword and context (two dimensions), effectively adding another layer of filtering that reduces the result set from overwhelming to manageable while maintaining search accuracy.
2Loss of information
If the system presents all playback points to the user, then complete information is provided, but the user experience deteriorates due to the overwhelming number of options
Solution Approach 1:
The patent applies partial action by presenting only the subset of playback points that match both the keyword and context criteria, rather than presenting all playback points. This partial presentation is sufficient to meet the user's information needs while avoiding the overwhelming effect of displaying excessive information, thus improving ease of operation without significant loss of relevant information.
3Device complexity
If the system uses only keyword matching to identify playback points, then simple search is provided, but the user cannot distinguish between different types of scenes featuring the same actor
Solution Approach 1:
The patent merges two search mechanisms: keyword matching and context matching. By combining these two approaches, the system maintains the simplicity of keyword-based search while adding the precision of context-based filtering. The merged approach allows users to benefit from both the ease of simple keyword entry and the specificity of contextual scene identification.
Data Source
AI summary
Systems and methods are described for determining playback points in media assets based on both a keyword and a context of a current playback point in a media asset. For example, in response to user input of a keyword (e.g., “Matt Damon”) while the user is consuming a media asset, a current playback point in the media asset is determined. Context of the media asset at the current playback point is then determined (e.g., the current playback point involves a car chase). Playback points in the media asset are determined that match both the context and the keyword and are presented to the user (e.g., playback points with Matt Damon in a car chase).