Video Playback System Frame Change Detection for Key Image Selection
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Solution Overview
Problem
Current video playback systems require significant time and effort for users to locate specific event images within large quantities of recorded footage, as they need to manually browse through images one by one, making it inefficient to find key incident points.
Innovation Solution
A video file playback system comprising a storage unit, processing unit, and display unit that compares chronological frame images for pixel or brightness changes exceeding a preset value, selecting the frame with the maximum change as a preview image for each time interval to facilitate quick identification of key images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually browse through recorded images one by one to find event images, then they can view all recorded content, but it requires a great amount of time and energy
Solution Approach 1:
The system performs preliminary action by automatically comparing adjacent frame images and selecting candidate frames with significant changes before user viewing. The processing unit sequentially compares change amounts between chronological adjacent frame images and selects frames where change amounts exceed a preset value, preparing preview images in advance so users don't need to manually browse through all recorded images one by one
Solution Approach 2:
The system extracts only the most relevant frames from the entire video sequence. By calculating change amounts between adjacent frames and selecting only those exceeding a threshold, the system extracts candidate frames that likely contain event information, separating them from irrelevant continuous footage to reduce viewing time and effort
2Measurement precision
If the system compares all adjacent frame images to find changes, then it can identify potential event points, but it increases processing complexity
Solution Approach 1:
The system applies local quality by focusing comparison only on adjacent frame images rather than all frames simultaneously. The processing unit sequentially compares change amounts between chronological adjacent frame images, which reduces the scope of analysis to locally relevant frames while maintaining detection accuracy for event points
Solution Approach 2:
The system uses parameter changes by setting a preset threshold value for change amount comparison. The processing unit selects frames where change amounts exceed this preset value, transforming the complex task of analyzing all image changes into a simpler threshold-based filtering process that maintains effective event detection
3Reliability
If the system selects multiple candidate frames with significant changes, then it provides more potential event points, but it increases the number of images to review
Solution Approach 1:
The system applies partial action by selecting only the frame with the maximum change amount in each time interval as the preview image, rather than selecting all frames with significant changes. This approach provides a representative sample (the most significant change point) that maintains high reliability for finding incident key points while minimizing the quantity of preview images users need to review
Data Source
AI summary
A video file playback system capable of previewing an image, a method thereof, and a computer program product can sequentially compare change amounts between chronological two of frame images, select the frame images, of which the change amounts exceed a preset value, in at least one time interval, and select a frame image, which has a maximum change amount, in the frame images in each time interval as a preview image. By displaying a preview image corresponding to each time interval, a user can quickly browse key images of each time interval.