Video Event Detection Using Audio Criteria and Offset Timestamps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for identifying and navigating specific scenes or events within large collections of videos are time-consuming and error-prone, as they rely on manual processes and do not effectively leverage event metadata for efficient search and playback across multiple videos.
Innovation Solution
A computer-implemented method that uses audio criteria to detect events in video files, recording offset timestamps for automated event detection and alignment, allowing for efficient identification and playback of events of interest, and providing a user interface for searching and browsing events using multi-attribute metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to identify and record events in videos, then users can locate specific scenes of interest, but the process is time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical event identification with automated audio-based detection systems. Audio criteria are established to automatically detect events in video files, eliminating the need for manual viewing and recording of event timestamps. This substitution of manual processes with automated audio analysis directly resolves the contradiction by improving both accuracy and reducing time consumption.
2Ease of operation
If single attribute metadata search is used in user interface, then users can search for events, but the search effectiveness across multiple videos is limited
Solution Approach 1:
The patent transitions from single-attribute metadata search to multi-attribute search capabilities. The system now supports searching across multiple attributes simultaneously (such as event type, timestamp, video source, and audio characteristics), adding dimensional depth to the search process. This multi-dimensional search approach dramatically improves event retrieval efficiency while maintaining ease of operation through the user interface.
3Reliability
If events are searched one video at a time, then users can review events in context, but the overall search process becomes inefficient across large video collections
Solution Approach 1:
The patent implements a segmented search approach where the large video collection is divided into manageable units (individual video files), each processed independently with automated audio-based event detection. This segmentation allows parallel processing of multiple videos simultaneously, maintaining the contextual integrity of events within each video while dramatically improving overall search productivity across the entire collection.
4Productivity
If automated audio-based event detection is implemented, then event identification becomes efficient and accurate, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer of audio criteria and offset timestamps that mediates between the complex automated detection process and the simple user interface. The audio criteria serve as intermediate parameters that translate complex audio analysis into actionable event detection rules, while offset timestamps provide a simple temporal reference system. This intermediary structure enables high-speed automated detection while keeping the user-facing system simple and manageable.
Data Source
AI summary
A computing device for processing a video file. The video file comprises an audio track and contains at least one event comprising a scene of interest. One or more audio criteria that characterize the event are used to detect events using the audio track and an offset timestamp is recorded for each detected event. A set of offset timestamps may be produced for a set of detected events of the video file. The set of offset timestamps for the set of detected events may be used to time align and time adjust a set of real timestamps for a set of established events for the same video file. A user interface (UI) is provided that allows quick and easy search and playback of events of interest across multiple video files.