Video Shortening via Subtitle Semantic Analysis and Frame Weighting
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Solution Overview
Problem
Current video processing methods, such as fast forward and double-speed solutions, fail to efficiently condense video content without losing key information, leading to poor user experience and inefficient information acquisition due to continuous human intervention and high concentration requirements.
Innovation Solution
A video processing method that performs semantic analysis on subtitles and determines frame weights based on image processing strategies, extracting and synchronizing image frames and subtitles to generate a shortened video, which can be further personalized based on user behavior and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fast forward or double-speed solution is used to accelerate video playback, then information acquisition speed is improved, but key content may be missed and user experience deteriorates
Solution Approach 1:
The video is segmented into multiple key frames based on subtitle semantic analysis. Each frame is assigned a weight according to its importance, and only the most important frames are extracted to form the shortened video. This segmentation approach allows the system to preserve key content while removing redundant parts, resolving the contradiction between speed and information retention.
Solution Approach 2:
The system extracts only the essential key frames from the original video based on subtitle analysis. By taking out and retaining only the most important visual information corresponding to meaningful subtitles, the system achieves both fast playback and key content preservation simultaneously.
2Loss of time
If traditional video shortening methods are used, then video duration is reduced, but synchronization between video content and subtitles is lost
Solution Approach 1:
The system uses subtitle timing information as feedback to guide the frame extraction process. By analyzing subtitle start times, durations, and semantic content, the system determines which frames to extract and their positions in the shortened video, ensuring automatic synchronization without manual intervention.
Solution Approach 2:
The system performs preliminary semantic analysis on all subtitles before generating the shortened video. This advance processing allows the system to pre-determine frame weights, selection criteria, and timing relationships, ensuring synchronization is maintained from the outset rather than requiring post-processing adjustments.
3Loss of information
If manual frame selection is used to preserve key content, then information retention is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system performs automatic semantic analysis of subtitles and autonomous determination of key frames without requiring manual user input. The algorithm independently evaluates subtitle importance, assigns frame weights, and generates the shortened video automatically, eliminating the need for manual frame selection while preserving key content.
Solution Approach 2:
The system changes the parameter of frame selection from manual user-defined to algorithmically-determined based on subtitle semantic analysis. By transforming the selection criterion into an automated parameter-based system (using subtitle timing, duration, and semantic importance), the system achieves both high automation and key content retention.
Data Source
AI summary
The present disclosure relates to the technical field of multimedia, and provides a video processing method and apparatus. The video processing method according to the present disclosure includes: performing semantic analysis on subtitles of a video to acquire compressed subtitles; determining a weight of each frame of images in the video based on a preset image processing strategy; acquiring a shortened video images by extracting a plurality of image frames in an order of the weights of all frames of images from high to low, according to a preset video shortening proportion; and generating a shortened video according to the shortened video images and the compressed subtitles.