Video Capture System for Immediate Summary Generation

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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 summaries immediately after capture.

Innovation Solution

A digital video capture system that analyzes video frames at the time of capture to determine feature values, compresses the video, identifies key video snippets without decompressing the data, and assembles these snippets into a summary, allowing for immediate viewing on the device.

Engineering Contradictions & Design Principles

VSEngineering 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 delay and makes immediate viewing impractical

Engineering Contradiction:
Improveautomatic video summarizationVSAvoiddelay in viewing summary
Core Design Contradiction:
Extent of automationVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of video frames at the time of capture to extract feature values (such as motion, color, and audio characteristics) and stores them in metadata. This preliminary extraction of summary information occurs before the video is compressed and stored, eliminating the need for decompression during summary generation. The key insight is that the summarization data is prepared in advance in a compressed-friendly format, allowing immediate summary creation without waiting for decompression.

Inventive Principle:
Principle #10Preliminary action

2Manufacturing precision

If video is recorded at high frame rate and resolution, then video quality is improved, but the amount of data generated makes sharing impractical

Engineering Contradiction:
Improvevideo qualityVSAvoiddata amount
Core Design Contradiction:
Manufacturing precisionVSQuantity of substance

Solution Approach 1:

The system extracts only the essential feature values needed for summarization from the high-quality video data. Instead of storing or processing the entire high-resolution video stream for summarization purposes, it extracts key features (motion vectors, color histograms, audio energy) and stores them compactly in metadata. This extraction approach maintains video quality for the original file while creating a compact representation for summarization and sharing.

Inventive Principle:
Principle #2Taking out (Extraction)

3Device complexity

If thumbnail image of first frame is used to represent video, then video representation is simple, but it provides little insight into video content

Engineering Contradiction:
Improvevideo representation simplicityVSAvoidvideo content insight
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

Instead of using a single thumbnail from the first frame, the system segments the video into multiple key segments based on extracted feature values. It identifies key frames and key video snippets throughout the video that represent important content changes. These segmented key moments are then assembled into a composite summary that provides comprehensive content insight while remaining visually manageable and informative.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS8446490B2Video capture system producing a video summary
Publication Date: 2013.05.21 MONUMENT PEAK VENTURES LLC
  • US8446490B2 patent drawing
  • US8446490B2 patent drawing
  • US8446490B2 patent drawing

AI summary

A digital video capture system for capturing a digital video sequence and for producing a corresponding video summary, comprising: an image sensor; an optical system; a processor, a softcopy display and a means for providing a user with an option to view either a stored digital video sequence or a video summary on the softcopy display. The processor performs the steps of: capturing a digital video sequence; automatically analyzing the digital video sequence at the time the digital video sequence is captured to determine one or more feature values; compressing the digital video sequence; storing the compressed digital video sequence; automatically analyzing the feature values to identify one or more key video snippets, assembling the key video snippets to form a video summary; and storing a representation of the video summary.