Live Stream Content Categorization via Overlapping Segment Analysis
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Solution Overview
Problem
Current methods cannot categorize live-streaming video content in real-time, making it difficult to insert appropriate advertisements during unscheduled ad breaks, as they often require only seconds to determine and select relevant content.
Innovation Solution
A system and method for determining attributes of live-streaming video content in real-time by extracting and transmitting attributes for segments of the stream, allowing for timely selection of supplemental content items, such as advertisements, based on brand safety ratings and categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-publishing processing is used for video content categorization, then categorization accuracy is improved, but real-time categorization capability deteriorates
Solution Approach 1:
The system extracts and transmits attributes for overlapping segments of live content in advance, so that when an ad break occurs, the categorization attributes are already available or nearly available, reducing the real-time processing burden while maintaining accuracy
Solution Approach 2:
The live content stream is divided into overlapping segments with predetermined durations, allowing parallel processing of multiple segments and enabling faster categorization by working on smaller, manageable portions simultaneously
2Reliability
If traditional categorization methods are used, then content accuracy is improved, but response time for unscheduled ad breaks deteriorates
Solution Approach 1:
Attributes are extracted and transmitted for overlapping segments before ad breaks occur, so categorization information is prepared in advance, reducing the time needed to respond to unscheduled ad breaks while maintaining content accuracy
Solution Approach 2:
The system continuously monitors and extracts attributes from live content, providing real-time feedback about content characteristics that enables rapid categorization decisions when ad breaks occur
Data Source
AI summary
Determining attributes for a stream of live content (e.g., live-streaming videos) is described. Initially, a stream of live content is received. One or more attributes are then extracted from a first segment and a second segment of the stream. The first segment and the second segment of the stream may have the same predetermined duration and the second segment may at least partially overlap with the first segment. The one or more attributes extracted from the first segment may be transmitted at a first time, such as at a first break in the stream of content. The one or more attributes extracted from the second segment may be transmitted at a second time, such as at a second break in the stream of content. The attributes from the first and second segments may be transmitted to a content provider and/or a creative provider, such as an advertiser.