Video Summary Assembly via Feature Extraction
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Solution Overview
Problem
Existing digital video capture devices face challenges in generating video summaries quickly and efficiently, as manual editing is laborious, and existing automatic algorithms require decompressing video data, making it impractical to view or share video summaries immediately after capture.
Innovation Solution
A method that captures digital video sequences, analyzes feature values at the time of capture, compresses the video, identifies key video snippets without decompressing the stored sequence, and assembles these snippets to form a video summary, which is then stored for immediate viewing and sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic video summarization algorithms are used, then video summary can be generated without manual editing, but the system must decompress video data which causes significant delay
Solution Approach 1:
The system performs preliminary analysis of video frames during the capture process itself, extracting feature values and identifying key moments before the video is fully captured or compressed. This advance preparation enables the video summary to be generated almost immediately after capture without requiring decomposition of the entire video data later.
Solution Approach 2:
The system extracts only the essential feature values from video frames during capture rather than storing or processing the complete video data. By taking out only the necessary information (feature values representing key moments) during the capture phase, the system avoids the time-consuming decompression step while retaining enough information to construct an accurate video summary.
2Manufacturing precision
If video is captured at high frame rate and resolution, then video quality is improved, but the amount of data generated makes sharing impractical
Solution Approach 1:
The system extracts only the essential feature values from high-quality video frames during capture, separating the critical information needed for summarization from the bulk video data. This extraction approach maintains video quality for the original file while creating a compact representation suitable for sharing.
Solution Approach 2:
Instead of sharing the entire high-resolution video file, the system creates and shares a compact video summary constructed from key frames identified during capture. This copying approach provides users with a shareable representation that conveys the essential content without the burden of large file sizes.
Data Source
AI summary
A method for forming a video summary for a digital video sequence. The method includes capturing a digital video sequence with a digital video capture device, wherein the digital video sequence includes a plurality of video frames. At least one of the video frames in the digital video sequence is analyzed at the time the digital video sequence is captured to determine one or more feature values. The digital video sequence; is compressed and stored in a processor-accessible memory. The feature values are analyzed, without decompressing the stored compressed digital video sequence, to identify one or more key video snippets, each key video snippet corresponding to a set of video frames from the digital video sequence. The key video snippets are assembled to form a video summary which is stored in a processor-accessible memory.