Event-Based Media Playback Using Neural Network Event Detection
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Solution Overview
Problem
Existing media playback systems fail to effectively allow users to navigate and control media content based on actionable events, leading to inefficiencies in viewing experiences, especially in live or recorded content with periods of high and low activity, such as sports events.
Innovation Solution
A method and apparatus that utilize neural network models to detect and infer actionable events in media content, allowing users to selectively initiate playback at specific event locations, and optionally retrieve supplemental content related to these events, enhancing user control and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional media playback systems are used, then the system structure remains simple, but users cannot efficiently navigate to specific events or skip uninteresting periods
Solution Approach 1:
The media content is segmented into discrete actionable events (e.g., goals, fouls, key plays) that are independently identifiable and navigable. Each event is marked with temporal boundaries and metadata, allowing users to jump between specific segments rather than playing through entire content chronologically.
Solution Approach 2:
An event detection system acts as an intermediary between the media content and the user interface. This system automatically identifies and tags actionable events within the content, creating a layer of intelligence that enables smart navigation without requiring manual user analysis of the content.
2Loss of time
If users watch entire media content chronologically, then no additional processing is needed, but users spend time on uninteresting periods and cannot focus on segments of interest
Solution Approach 1:
Actionable events are detected and marked in advance during content processing or caching phases. This preliminary analysis creates an index of interesting moments that enables rapid navigation during playback, eliminating the need for users to manually scan through content to find key moments.
Solution Approach 2:
The system automatically performs event detection and content analysis without requiring user intervention. The media player autonomously identifies actionable events, manages playback timing, and provides navigation options, freeing users from manual content exploration while reducing their time investment.
3Speed
If media playback starts from the beginning, then no complex navigation is required, but users cannot quickly access specific events or rewind to actionable moments
Solution Approach 1:
The playback control system adds a temporal dimension to navigation by allowing users to jump to specific time points associated with detected events. Instead of linear progression only, users can navigate non-linearly to any marked event point, creating a multi-dimensional playback experience that combines chronological order with event-based access.
Data Source
AI summary
A method and apparatus for event-based media playback. A media device infers one or more actionable events in a media content item using one or more neural network models and determines a respective start location for each of the actionable events in the media content item. The media device receives user input indicating a selection of one of the actionable events and selectively initiates playback of the media content item at the start location associated with the selected actionable event.