Action-Based Video Playback Speed Control for Segment Accuracy
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Solution Overview
Problem
Existing video playback technologies suffer from low adjustment efficiency and poor accuracy when manually adjusting playback speed, leading to a suboptimal video watching experience, especially in live streaming and recorded broadcasting scenarios.
Innovation Solution
A video variable-speed playback method that automatically recognizes target objects and their action features in a video, adjusting playback speed based on these features to match the content's attractiveness, allowing for dynamic speed adjustments that enhance user engagement and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual playback speed adjustment is provided, then users can adjust playback speed, but adjustment efficiency is low and accuracy is poor
Solution Approach 1:
The system automatically adjusts playback speed based on action feature recognition without requiring user manual intervention. The playback device autonomously analyzes video content, identifies key actions, and dynamically modifies playback speed to optimize viewing experience, eliminating the need for users to manually adjust speed while achieving high adjustment efficiency and accuracy.
Solution Approach 2:
The system continuously monitors video content through action feature recognition and uses this feedback to dynamically adjust playback speed. By real-time analyzing the recognized actions and their features, the system adapts playback speed to match content importance, ensuring both high efficiency and accuracy in adjustment based on actual video content characteristics.
2Ease of operation
If manual playback speed adjustment is provided, then users can locate video segments of interest, but adjustment accuracy is poor
Solution Approach 1:
The system replaces manual mechanical operation with automated computer vision and action recognition technology. By using image processing algorithms to detect and recognize actions in video frames, the system objectively identifies content importance and adjusts playback speed with high precision, eliminating the inaccuracies inherent in manual adjustment methods.
Solution Approach 2:
The system creates a digital representation of video content through action feature extraction and uses this copy to determine playback speed adjustments. By analyzing the extracted action features as a digital model of the video content, the system achieves precise adjustment accuracy without requiring direct manual interaction with the video playback.
3Adaptability or versatility
If playback speed is adjusted manually, then users can control viewing pace, but watching experience is affected due to low efficiency and accuracy
Solution Approach 1:
The system dynamically adjusts playback speed based on real-time action feature recognition results. Rather than static manual adjustment, the playback speed continuously adapts to the recognized actions and their features, providing a reliable and engaging viewing experience that responds automatically to video content characteristics.
Solution Approach 2:
The system changes the playback speed parameter automatically based on action feature analysis. By modifying the playback speed parameter in response to recognized actions and their features, the system ensures consistent and reliable viewing experience while maintaining adaptability to different video content types and scenarios.
Data Source
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AI summary
Provided in the embodiments of the present disclosure are a video variable-speed playing method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring a target video, which at least comprises a first video clip; performing identification on the first video clip, so as to obtain at least one target object; acquiring an action feature of the target object, and obtaining a target playing speed of the target video according to the action feature; and playing the target video on the basis of the target playing speed.