Scene-Aware Audio-Video Graphs for Object Interaction Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies fail to provide a comprehensive and efficient representation of audio-video scenes that capture both spatial and temporal interactions of objects, necessitating separate processing of audio and video modalities without aligning them effectively.
Innovation Solution
A graph-based representation is generated, where nodes represent objects and edges indicate interactions, incorporating audio and video features to create a scene-aware audio-video representation, utilizing a neural network for audio-source separation and feature extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If separate processing of audio and video modalities is used, then processing simplicity is maintained, but representation comprehensiveness deteriorates
Solution Approach 1:
The patent merges audio and video processing into a unified graph representation framework. Nodes represent objects from both modalities, and edges represent relationships between them, creating an integrated scene-aware representation that captures interactions between audio and video elements without requiring separate processing pipelines.
Solution Approach 2:
The graph representation serves multiple functions simultaneously: it represents spatial relationships between objects, temporal evolution of scenes, audio-visual alignments, and object interactions. This universal representation eliminates the need for separate processing systems while maintaining comprehensive information capture.
2Reliability
If pre and post-processing techniques are applied to align audio and video, then modality alignment is improved, but processing time increases
Solution Approach 1:
The system performs alignment actions during the main processing stage rather than as separate pre-processing or post-processing steps. The graph representation is constructed to inherently capture aligned audio-visual relationships, eliminating the need for time-consuming separate alignment operations while maintaining reliable modality synchronization.
3Loss of information
If graph-based representation with audio-video integration is used, then representation comprehensiveness is improved, but computational complexity increases
Solution Approach 1:
The complex audio-video scene is segmented into discrete graph nodes representing individual objects and edges representing relationships between them. This segmentation allows the system to manage complexity by processing relationships between pairs of objects rather than the entire scene at once, while maintaining comprehensive representation through the complete graph structure.
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
Embodiments disclose a method and system for a scene-aware audio-video representation of a scene. The scene-aware audio video representation corresponds to a graph of nodes connected by edges. A node in the graph is indicative of the video features of an object in the scene. An edge in the graph connecting two nodes indicates an interaction of the corresponding two objects in the scene. In the graph, at least one or more edges are associated with audio features of a sound generated by the interaction of the corresponding two objects. The graph of the audio-video representation of the scene may be used to perform a variety of different tasks. Examples of the tasks include one or a combination of an action recognition, an anomaly detection, a sound localization and enhancement, a noisy-background sound removal, and a system control.