Multimedia Stream Audio-Visual Object Correlation
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Solution Overview
Problem
Current multimedia streaming technologies lack the ability to effectively focus on specific audio objects within a video stream, requiring manual selection and multiple microphones, which can be cumbersome and require multimedia expertise, while also making it difficult for viewers to identify the source of predominant audio in a visual stream.
Innovation Solution
The system generates metadata to identify and correlate audio and visual objects within a multimedia stream, allowing creators and viewers to enhance the stream by isolating and modulating specific audio associated with visual objects, using a content metadata controller that processes video and audio streams to match visual objects with their corresponding audio sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection and multiple microphones are used to focus on specific audio objects, then audio focus capability is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system automatically identifies and correlates audio objects with visual objects without requiring manual selection by the user. The content metadata controller autonomously processes the multimedia stream, detects audio objects, matches them with corresponding visual objects, and generates the necessary metadata, making the system self-sufficient and eliminating the need for manual intervention.
Solution Approach 2:
The patent introduces metadata as an intermediary element that bridges audio objects and visual objects. This metadata contains identification information that correlates audio sources with their corresponding visual representations, allowing the system to focus on specific audio objects without requiring direct manual control or multiple physical microphones.
2Measurement precision
If manual selection and multiple microphones are used to focus on specific audio objects, then audio focus capability is improved, but ease of operation worsens
Solution Approach 1:
The system automatically identifies and correlates audio objects with visual objects without requiring manual selection by the user. The content metadata controller autonomously processes the multimedia stream, detects audio objects, matches them with corresponding visual objects, and generates the necessary metadata, making the system self-sufficient and eliminating the need for manual intervention.
Solution Approach 2:
The patent introduces metadata as an intermediary element that bridges audio objects and visual objects. This metadata contains identification information that correlates audio sources with their corresponding visual representations, allowing the system to focus on specific audio objects without requiring direct manual control or multiple physical microphones.
3Measurement precision
If metadata generation and audio object correlation are implemented, then audio-visual synchronization is improved, but processing time increases
Solution Approach 1:
The system generates and stores metadata containing audio object identification information in advance, during the multimedia stream processing phase. This preliminary action allows the metadata to be readily available when needed for audio focusing, eliminating the need for real-time analysis during playback and reducing processing delays.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture for enhancing a video and audio experience are disclosed. Example apparatus disclosed herein detect a first visual object in a visual stream of a multimedia stream, the first visual object associated with a first location in a content creation space represented by the multimedia stream, and detect a first audio object in an audio stream of the multimedia stream, the first audio object associated with a second location in the content creation space. Disclosed example apparatus also evaluate a correlation between the first visual object and the first audio object, the correlation based on the first location and the second location. Disclosed example apparatus further generate metadata for the multimedia stream based on the correlation between the first visual object and the first audio object.