Dynamic Living Image Sequence Length Adjustment
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Solution Overview
Problem
Existing digital camera technologies do not effectively create a displayable frame sequence that captures the essence of a moment by combining still images with a preceding video sequence, often failing to dynamically adjust the sequence length based on scene conditions and camera stability.
Innovation Solution
A method that automatically selects a starting frame from a preliminary frame sequence based on scene conditions such as movement or changes, and camera stability, to form a displayable frame sequence that includes a still image and a preceding image sequence, allowing for dynamic adjustment of sequence length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed-length preceding image sequence is used in living images, then the structure is simple and easy to implement, but the sequence length cannot adapt to different scene conditions and camera stability, reducing relevance and engagement
Solution Approach 1:
The patent implements dynamic adjustment of the preceding image sequence length based on scene conditions and camera stability. The system automatically varies the sequence duration to match different living scenarios, transforming a static fixed-length approach into a dynamic adaptive one that responds to real-time conditions
Solution Approach 2:
The system employs feedback mechanisms by analyzing scene conditions and camera stability data to determine the appropriate sequence length. This feedback loop allows the system to continuously adjust the preceding image sequence duration based on captured scene characteristics, ensuring optimal relevance without manual intervention
2Reliability
If the entire preliminary frame sequence is displayed, then all captured moments are preserved, but irrelevant or unstable portions reduce the quality and relevance of the living image
Solution Approach 1:
The patent extracts and selects only the relevant portions of the preliminary frame sequence based on scene conditions and camera stability analysis. By taking out and displaying only the meaningful segments that accurately represent the living moment, the system eliminates irrelevant or unstable portions while preserving the essential information
Solution Approach 2:
The system applies local quality by varying the display characteristics of different segments within the frame sequence. Rather than uniformly displaying all frames, it selectively emphasizes portions with higher relevance and stability, giving different quality weights to different temporal segments based on their contribution to representing the living moment
Data Source
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AI summary
A method may comprise: obtaining a preliminary frame sequence and at least one still image frame, captured by a digital camera shooting a scene; obtaining at least one of indication of fulfilment of a predetermined starting scene condition in at least one frame of the preliminary frame sequence and indication of fulfilment of a predetermined first camera condition prevailing during capturing the preliminary frame sequence; selecting a starting frame from the preliminary frame sequence on the basis of at least one of fulfilment of the starting scene condition and fulfilment of the first camera condition; and forming, from the preliminary frame sequence and the at least one still image frame, a displayable frame sequence for displaying a living image of the scene, the frame sequence starting by the starting frame and having a still image frame as a stopping frame for displaying the still image.