Automatic Poster Frame Detection via Luminance Analysis
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Solution Overview
Problem
Conventional technologies for selecting a poster frame from a video clip are inefficient, often choosing the first frame which may be empty, blurry, or not representative, and require manual user selection, making the process time-consuming, especially for clips with many frames.
Innovation Solution
A computer system is configured to automatically select a frame by generating luminance values for pixels in a video frame, identifying frames with at least one pixel outside a predetermined luminance range, determined from a reference pixel, to determine the poster frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of each frame is performed to select the poster frame, then the accuracy of poster frame selection is improved, but the time consumption increases significantly
Solution Approach 1:
The patent replaces manual visual inspection with automated computer-based analysis. The system automatically extracts luminance values from video frames and compares them against predetermined ranges to identify representative frames, eliminating the need for human reviewers to manually examine each frame while maintaining selection accuracy.
Solution Approach 2:
The patent transforms the frame selection process from subjective visual evaluation to objective parameter-based decision making. By converting visual frames into quantitative luminance values and using these numerical parameters to determine frame representativeness, the system achieves both speed and accuracy in automated poster frame selection.
2Loss of time
If the first frame is automatically selected as the poster frame, then the time consumption is reduced, but the selection accuracy deteriorates as the first frame may be empty, blurry, or not representative
Solution Approach 1:
The patent implements a feedback mechanism where luminance values from analyzed frames are compared against predetermined ranges to determine suitability. The system continuously evaluates frames based on their luminance characteristics and selects only those that meet the criteria, ensuring accurate poster frame selection while maintaining automation and speed.
Solution Approach 2:
The patent replaces the simple automatic first-frame selection with a sophisticated automated analysis system that evaluates luminance characteristics. This substitution enables the system to automatically identify representative frames without manual intervention, achieving both time efficiency and selection accuracy by using objective luminance-based criteria rather than arbitrary first-frame selection.
3Productivity
If automated selection based on simple criteria is used, then the time consumption is reduced, but the reliability of frame representation deteriorates
Solution Approach 1:
The patent uses luminance value analysis as a reliable parameter to determine frame representation. By transforming visual frames into quantitative luminance measurements and comparing them against predetermined ranges, the system achieves both high processing speed and reliable frame selection. This parameter-based approach ensures that automated selections are based on objective, measurable criteria rather than arbitrary rules.
Data Source
AI summary
A technique that may be used to configure a computer system to automatically search a video and select a frame within the video clip that best represents the content of that video. A frame contained in a video is identified. Luminance values for each pixel in a plurality of pixels contained in the frame are then generated. The frame is then selected as a poster frame for the video if a luminance value for at least one pixel in the plurality of pixels contained in the identified frame is outside a range of luminance values. The range of luminance values may be determined from a luminance value associated with a reference pixel contained in the frame.