Metadata-Driven Video Clip Selection for Audience-Specific Engagement
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Solution Overview
Problem
Existing systems fail to optimally generate video clips tailored for specific target audiences or individual viewers, leading to suboptimal engagement.
Innovation Solution
A computer-implemented method and system that processes video metadata to identify higher-level labels, generates candidate clips based on engagement metrics, and selects clips for presentation using algorithms that consider viewer profiles and contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video clips are generated without algorithmic editing, then the system complexity is low, but the viewer engagement is suboptimal
Solution Approach 1:
The system performs preliminary processing of the source video by extracting metadata (visual, audio, temporal information) and generating multiple candidate clips in advance. This preliminary action enables the system to store and organize clips before they are needed, allowing for rapid selection and delivery to viewers without requiring complex real-time processing during consumption.
Solution Approach 2:
The system creates multiple copies (candidate clips) from the original source video by extracting different time sequences and segments. These copies are stored in a database with associated metadata, enabling the system to select and deliver appropriate clips to different viewers based on their preferences without requiring complex real-time generation for each viewer.
2Adaptability or versatility
If multiple candidate clips are generated from source video, then the adaptability to different audiences improves, but the storage requirements and processing complexity increase
Solution Approach 1:
The system segments the source video into multiple discrete time sequences and segments, extracting specific portions (clips) that contain different content types (action scenes, comedy scenes, etc.). Each segment is independently processed, tagged with metadata, and stored as a separate candidate clip, enabling flexible combination and selection for different audience preferences.
Solution Approach 2:
The system varies parameters such as clip duration, content type, and temporal positioning to create different candidate clips from the same source video. By changing these parameters during the extraction process, the system generates diverse clips that can be tailored to different viewer preferences without requiring multiple source videos.
3Reliability
If clips are selected based on engagement metrics, then the viewer engagement improves, but the data processing and algorithm complexity increase
Solution Approach 1:
The system implements feedback mechanisms by tracking engagement metrics (viewership data, interaction patterns) from previous clip deliveries and using this information to refine future clip selections. This feedback loop enables the system to learn viewer preferences over time and improve clip selection accuracy, though the feedback processing is managed through structured data collection and analysis protocols.
Data Source
AI summary
A computer implemented method for algorithmically editing digital video content is disclosed. A video file containing source video is processed to extract metadata. Label taxonomies are applied to extracted metadata. The labelled metadata is processed to identify higher-level labels. Identified higher-level labels are stored as additional metadata associated with the video file. A clip generating algorithm applies the stored metadata for selectively editing the source video to generate a plurality of different candidate video clips. Responsive to determining a clip presentation trigger on a viewer device, a clip selection algorithm is implemented that applies engagement data and metadata for the candidate video clips to select one of the stored candidate video clips. The engagement data is representative of one or more engagement metrics recorded for at least one of the stored candidate video clips. The selected video clip is presented to one or more viewers via corresponding viewer devices.