Terminal Video Scene Search via Image Recognition
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Solution Overview
Problem
Users face difficulties in efficiently searching for specific scenes within a video file, requiring them to manually drag a progress bar and examine screenshots, which is time-consuming and laborious, often leading to errors.
Innovation Solution
A terminal equipped with an image recognition unit that extracts characteristic information from a specified image, matches it with frame images in a video file, and performs processing operations on matched images, allowing users to automatically locate and play or store interested video segments without extensive searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual progress bar dragging and screenshot checking is used to search for specific video scenes, then the user can locate interested content, but the operation becomes time-consuming and laborious
Solution Approach 1:
The patent replaces the mechanical manual operation of dragging progress bar and checking screenshots with an automated image recognition system. The system uses computer vision technology to automatically identify and locate specific scenes in the video based on keyframe extraction and image matching, eliminating the need for manual time-consuming searching while maintaining accurate scene location.
2Reliability
If all frame images in a video file are processed for recognition, then complete coverage is achieved, but the processing amount becomes tremendous
Solution Approach 1:
The patent divides the video file into discrete frame images and further segments the search process by extracting only keyframes at specific intervals rather than processing every single frame. This segmentation approach maintains recognition completeness by sampling representative frames while dramatically reducing the processing load through selective keyframe extraction based on time intervals or scene change detection.
Solution Approach 2:
The patent applies partial action by processing only a subset of frame images (keyframes) rather than all frames in the video. By extracting keyframes at predetermined time intervals or when scene changes are detected, the system achieves sufficient recognition coverage without the excessive processing burden of analyzing every single frame, thus reducing computational complexity while maintaining acceptable reliability.
Data Source
AI summary
The present invention provides a terminal, comprising an image recognition unit for recognizing a specified image obtained to extract characteristic information in the specified image, a marking unit for finding frame images matched with the specified image from all frame images in a specified video file in a preset mode according to the characteristic information and marking the found frame images, and a processing unit for performing a corresponding processing operation on the frame images marked by the marking unit according to a processing command received. Accordingly, the present invention also provides a video file management method. According to the technical solution of the present invention, video pictures in which a user is interested can be automatically selected from the video file according to needs of the user, and therefore, complex operations of searching by the user are avoided and the use experience of the user is enhanced.