Multimedia Data Processing via Key Frame Segmentation
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Solution Overview
Problem
Current multimedia data processing technologies face challenges in handling high-resolution video data, leading to increased calculation and delay, which cannot meet the real-time requirements of applications like live broadcasts and online video conferencing.
Innovation Solution
A multimedia data processing method and device that performs a first processing on raw multimedia data based on target requirement information to reduce data volume, followed by a second processing using relevant algorithms, and a target processing to obtain optimized multimedia data, utilizing techniques such as frame extraction, downsampling, and parallel processing to efficiently meet application-specific requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution video data is processed directly, then video quality is maintained, but calculation complexity and processing delay increase significantly
Solution Approach 1:
The patent divides the video processing task into multiple stages: first extracting key frames at lower resolution for rapid algorithmic processing, then selectively applying processing results to the original high-resolution video. This segmentation allows time-critical operations to be performed on reduced data while maintaining final output quality.
Solution Approach 2:
The patent performs preliminary processing on extracted key frames before processing the complete high-resolution video. By pre-computing processing parameters, detecting features, or generating processing instructions on the downsampled key frames, the system prepares guidance data that accelerates subsequent full-resolution processing and reduces overall delay.
2Measurement precision
If high-resolution video data is processed directly, then processing accuracy is maintained, but computing resource consumption increases
Solution Approach 1:
The patent segments video processing into two phases: (1) extracting and processing downsampled key frames using computationally intensive algorithms to determine processing parameters or detect features, and (2) applying these pre-determined parameters to the full-resolution video using optimized operations. This reduces total computational load while preserving processing accuracy on the final output.
Solution Approach 2:
The patent creates a simplified copy of the video data in the form of downsampled key frames for preliminary processing. These key frames serve as proxies that capture essential visual information at reduced computational cost, allowing the system to derive processing instructions without repeatedly processing the full-resolution data.
3Productivity
If data volume is reduced through preprocessing, then processing efficiency improves, but information loss may occur
Solution Approach 1:
The patent performs preliminary processing on downsampled key frames to extract processing parameters, detect features, or generate processing instructions before applying these to the full-resolution video. This preliminary action on reduced data guides subsequent processing without discarding the original high-resolution information needed for final output quality.
Solution Approach 2:
The patent introduces downsampled key frames as an intermediary representation that mediates between the original high-resolution video and the processing algorithms. These intermediaries capture essential visual characteristics for parameter extraction or feature detection while preserving the option to apply results to the complete high-resolution data, thus preventing permanent information loss.
Data Source
AI summary
The application describes a multimedia data processing method, device, and electronic device. The method includes performing a first process on raw multimedia data based on target requirement information to obtain at least one to-be-processed multimedia data, where a data volume of each to-be-processed multimedia data is smaller than a volume of the raw multimedia data, performing a second processing on a corresponding to-be-processed multimedia data by using at least one processing algorithm to obtain a processing result for each to-be-processed multimedia data, where the at least one processing algorithm is related to the target requirement information, performing a target processing on the raw multimedia data based on the processing result for each to-be-processed multimedia data.