Moov Box Binary Data Analysis for Playback Delay
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Solution Overview
Problem
Existing multimedia data technologies face challenges in efficiently and accurately decoding media information from moov boxes within media files, leading to potential delays and asynchrony issues during network transmission and playback.
Innovation Solution
An analysis method and device for moov boxes that acquire and analyze binary data corresponding to the moov box, invoking parsers based on box types to extract media information, thereby improving data analysis speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If media information is decoded from moov box during network transmission, then playback instantaneity is improved, but data analysis speed becomes insufficient causing delay
Solution Approach 1:
The moov box is divided into multiple sub-boxes (mvhd box, track boxes, etc.), and each sub-box is processed independently through sequential analysis. This segmentation allows the system to analyze only the necessary portions of the moov box structure, improving data analysis speed while maintaining complete media information decoding capability.
Solution Approach 2:
The system performs preliminary analysis of the moov box structure by first identifying box types and lengths before fully decoding media information. This preliminary action creates a processing roadmap that enables faster subsequent decoding operations, reducing overall data analysis time during network transmission.
2Measurement precision
If media information is extracted accurately from moov box, then decoding precision is improved, but processing time increases
Solution Approach 1:
The moov box structure is segmented into standardized sub-boxes with defined formats. By processing each sub-box independently according to its specific type (mvhd, track, etc.), the system achieves accurate media information extraction while minimizing processing time through targeted decoding of each segment.
Solution Approach 2:
The system dynamically adjusts processing parameters based on box type and content requirements. Different parsers are invoked for different box types, and processing depth is adjusted according to the specific media information needed, optimizing the balance between accuracy and processing time.
3Measurement precision
If sequential analysis of moov box data is performed, then data analysis accuracy is improved, but analysis speed decreases
Solution Approach 1:
The sequential analysis process is segmented into discrete steps: acquiring moov box data, analyzing box headers to identify types and lengths, invoking appropriate parsers, and extracting media information. This segmentation allows each step to be optimized independently, maintaining accuracy while improving overall speed through efficient step execution.
Solution Approach 2:
A parser mechanism serves as an intermediary between the sequential analysis process and media information extraction. The parser correctly identifies box types and processes data according to standardized formats, enabling accurate analysis while optimizing the extraction process through specialized handling of different box types.
Data Source
AI summary
An analysis method, device and storage medium of an moov box is provided. The method includes acquiring binary data corresponding to the moov box in binary data of the media file based on a location of the moov box in a media file; sequentially analyzing binary data with a standard length in obtained binary data corresponding to ancc moov box header to obtain a box type of a sub-box in the moov box and a length of box data of the sub-box; and invoking a parser with a type corresponding the box type of the sub-box, sequentially analyzing binary data corresponding to a length of the box data in unanalyzed data to obtain media information represented by the box data.