Multimedia Stream Metadata Generation for Consumer Processing
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Solution Overview
Problem
Current streaming technologies lack efficient methods to identify and capture items of interest in multimedia streams, leading to unnecessary processing and resource consumption for stream consumers, as they often lack the resources to perform real-time analysis of audio and video content.
Innovation Solution
A computer-implemented method that analyzes multimedia streams to identify items of interest and generates metadata, which is then provided to stream consumers, allowing them to tailor their processing and reduce unnecessary resource usage, while also receiving feedback to update the metadata dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stream consumers perform real-time analysis of audio and video content, then they can identify items of interest, but they consume excessive processing resources and energy
Solution Approach 1:
The patent extracts the computationally intensive task of analyzing multimedia content and identifying items of interest from the stream consumer device and relocates it to the stream producer device. The stream producer performs the analysis and generates metadata describing identified items, which is then transmitted to stream consumers. This extraction eliminates the need for stream consumers to perform resource-intensive real-time analysis while maintaining accurate item identification capability.
Solution Approach 2:
The patent introduces metadata as an intermediary that carries information about identified items of interest from the stream producer to stream consumers. This metadata intermediary contains descriptions and location information of items without requiring stream consumers to perform the analysis themselves, thus reducing their processing energy consumption while preserving the ability to identify and process relevant content.
2Reliability
If stream consumers process the entire multimedia stream, then they ensure complete content delivery, but they waste resources on unnecessary processing
Solution Approach 1:
The stream producer performs preliminary analysis of the multimedia stream before it reaches stream consumers, identifying items of interest in advance and generating metadata that describes these items. This preliminary action allows stream consumers to receive prepared information about what content is relevant, enabling them to focus processing only on necessary portions rather than analyzing the entire stream, thus improving processing efficiency while maintaining content delivery completeness.
Solution Approach 2:
The patent implements a feedback mechanism where stream consumers provide information about their processing needs and the stream producer adjusts the metadata accordingly. This feedback loop ensures that stream consumers receive accurate and relevant metadata that matches their processing requirements, allowing them to efficiently process only the necessary content portions without wasting resources on irrelevant material.
3Loss of information
If the system provides detailed metadata about all items, then stream consumers have complete information, but the system complexity increases
Solution Approach 1:
The patent applies local quality by providing metadata with varying levels of detail tailored to different items of interest. Rather than uniformly providing the same level of information for all content, the system generates metadata descriptions that are appropriately detailed for each specific item based on its importance and characteristics. This approach maintains information completeness for relevant items while avoiding unnecessary complexity in the metadata structure for less important content.
Data Source
AI summary
Multimedia stream enhancement includes automatically analyzing a multimedia stream and identifying items of interest therein, building metadata, about the stream, that describes the identified items of interest and includes indications of each item of interest and a respective location of that item of interest, providing, by a stream producer device, the stream and the metadata to stream consumer devices, receiving feedback from at least one stream consumer device as the stream producer device provides the stream to the at least one stream consumer device, and using the feedback to generate updated metadata about the stream for provision to one or more stream consumer devices of the stream consumer devices.