Media Recording Synchronization via Embedded Event Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for creating, cataloging, and displaying media recordings, such as video and audio recordings, are inefficient due to the difficulty in synchronizing and identifying relevant content across different recordings made by various devices at different times, leading to time-consuming post-production editing and error-prone processes.
Innovation Solution
A method and system that synchronize media recordings based on a reference time, allowing for the creation of media recordings with event data, relative time, bookmarks, and scene/subject labels, enabling users to search and display relevant recordings without reviewing content, and automatically editing out unwanted portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If media recordings are created by different devices at different times without synchronization, then recording flexibility and device independence are improved, but time synchronization and content identification become more difficult
Solution Approach 1:
The system embeds timing information and event data during the recording process itself, rather than attempting to synchronize recordings afterward. Each recording device captures its own timing stamps and event markers preliminarily, allowing for automatic alignment without post-production editing.
Solution Approach 2:
A centralized server acts as an intermediary that receives timing information and event data from multiple recording devices. The server processes this data to establish a common time reference frame, enabling synchronized playback and easy identification of related content across different devices.
2Loss of information
If unnecessary footage is recorded to ensure complete coverage, then content completeness is improved, but post-production editing time and complexity increase
Solution Approach 1:
Event data and timing information are captured during the recording process, allowing the system to automatically identify and extract only the relevant portions of footage later. This preliminary capture of metadata eliminates the need for manual review of entire recordings.
Solution Approach 2:
The system extracts only the necessary portions of media recordings based on embedded event data and timing information. By separating the relevant content from unnecessary footage using the captured metadata, the system eliminates manual editing while preserving complete coverage of important events.
3Measurement precision
If multiple media recordings are reviewed to identify related content, then content accuracy is improved, but review time and error probability increase
Solution Approach 1:
The server acts as an intermediary that processes timing information and event data from multiple recordings to automatically identify and link related content. This automated matching process maintains content accuracy by using objective timing and event criteria rather than subjective human review.
Solution Approach 2:
The system uses embedded timing information and event data as feedback to automatically identify and synchronize related recordings. This feedback mechanism allows the system to accurately match content across multiple devices without manual intervention, reducing both review time and error probability.
4Manufacturing precision
If manual editing is performed to remove unnecessary footages, then recording quality is improved, but automation level and productivity decrease
Solution Approach 1:
All necessary timing information and event data are captured during the recording process itself, enabling automatic extraction of high-quality content without manual editing. This preliminary capture of metadata allows the system to autonomously identify and extract only the relevant portions of each recording.
Solution Approach 2:
The system performs automatic editing and content extraction using the timing information and event data that were captured during recording. The recordings essentially edit themselves by using the embedded metadata to identify and extract relevant portions, eliminating the need for manual post-production work while maintaining high quality.
Data Source
AI summary
A method for media recording creation and catalog is provided, that creates media recordings according to a reference time provided. The method allows editing the media recordings during and after recording, catalogs the media recordings, and identifies the media recordings that are related to the same event or a related event, that are close in time or space, but may have been recorded independently. The method displays the media recordings synchronizedly according to a reference time.