Natural Language Navigation for Audio Video Stream Events
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Solution Overview
Problem
Existing technologies lack efficient methods for natural language navigation and enhanced viewing of audio video streams, particularly in sports contests, as they fail to effectively process spoken or written commands to control playback or navigate within the streams.
Innovation Solution
Combining automatic speech recognition (ASR) and natural language understanding (NLU) systems to transcribe and interpret user commands, allowing for the control of AV stream playback and enhancement, such as skipping to specific quarters or replaying moments in sports events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional video navigation methods are used, then users can control playback, but the operation complexity increases and user convenience decreases
Solution Approach 1:
The patent replaces traditional mechanical video navigation controls (buttons, menus, manual seeking) with an automatic speech recognition system that processes natural language commands. Users speak commands like 'show me the highlights' or 'play the second quarter' instead of manually navigating through complex interfaces, substituting mechanical interaction with acoustic signal processing and automated interpretation.
Solution Approach 2:
The system performs automated video indexing and command interpretation without requiring user setup or configuration. The indexing service automatically analyzes video content to identify events, segments, and key moments, then uses this pre-processed information to respond to user commands. This self-service approach eliminates the need for users to manually create navigation structures or learn complex control schemes.
2Measurement precision
If video indexing is performed to enable navigation, then navigation precision improves, but processing time and system complexity increase
Solution Approach 1:
The system performs video indexing in advance, analyzing and segmenting video content into meaningful events, scenes, and temporal markers before users need to navigate. This preliminary processing creates a structured index that enables rapid, precise navigation when users issue commands, avoiding the need for real-time analysis during playback control.
Solution Approach 2:
The video content is divided into discrete, identifiable segments such as plays, quarters, highlights, and specific events. Each segment is tagged with metadata and temporal boundaries, allowing the system to quickly locate and navigate to any segment without scanning through the entire video stream, thus achieving both precision and efficiency.
3Ease of operation
If natural language processing is implemented, then ease of use improves, but computational requirements and system complexity increase
Solution Approach 1:
The patent introduces a natural language processing intermediary layer that translates user speech into structured commands and queries. This intermediary component handles the complexity of language interpretation, semantic understanding, and command formulation, shielding users from underlying system complexity while enabling intuitive interaction through natural speech or text.
Data Source
AI summary
The disclosed embodiments include a computer implemented method to control the presentation of an audio video stream. The method includes obtaining an audio video stream and associating the audio video stream with events. The events include an interpretation of content of the audio video stream. The method further includes obtaining a natural language command, generating a control signal based on the natural language command by referencing a particular event, and using the control signal to control presentation of the audio video stream relative to the particular event.