Video Segmentation Dimensions for Efficient Content Search

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Solution Overview

Problem

Current video hosting services lack efficient methods for users to search, identify, and playback specific portions of video content, often requiring users to watch entire videos or use inefficient tools like high-speed playback, and struggle with managing meaningful video content segments across multiple videos.

Innovation Solution

A video management system with a video segment manager that generates enhanced segmented video using segmentation dimensions, rules, and reconstruction rules, allowing for efficient segmentation, indexing, and playlist generation, enabling improved search and playback of video content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users watch entire video content to find specific portions, then they can identify all video elements, but time consumption and user experience deteriorate

Engineering Contradiction:
Improvevideo portion identification accuracyVSAvoidtime to find specific video portions
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent divides video content into multiple segments based on segmentation dimensions (time, topic, speaker, scene, etc.). Each segment is indexed with metadata describing its characteristics, allowing users to search for and directly navigate to specific portions without watching the entire video. This segmentation enables precise identification of video portions while significantly reducing time consumption.

Inventive Principle:
Principle #1Segmentation

2Ease of operation

If video content is segmented into multiple segments, then search functionality improves, but system complexity increases

Engineering Contradiction:
Improvevideo search functionalityVSAvoidsegmentation and indexing system complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent creates a universal segmentation framework that can handle multiple types of video content and search queries through a unified indexing system. The segmentation dimensions (time, topic, speaker, scene) and reconstruction rules provide a multi-functional approach that simplifies various search operations while managing system complexity through standardized processes.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs preliminary segmentation and indexing of video content during the upload or preprocessing stage. By organizing video segments and their metadata in advance using segmentation rules and reconstruction rules, the system prepares the data structure beforehand, making subsequent search operations simpler and more efficient without adding complexity during user interaction.

Inventive Principle:
Principle #10Preliminary action

3Manufacturing precision

If computational resources are increased for video processing, then video segmentation quality improves, but resource consumption increases

Engineering Contradiction:
Improvevideo segmentation qualityVSAvoidcomputational resource consumption
Core Design Contradiction:
Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The patent employs segmentation rules and reconstruction rules that operate on defined parameters (segmentation dimensions) to process video content. By changing the parameters of segmentation (such as dimension types, granularity levels, and rule priorities), the system can adjust processing intensity and quality according to resource availability, enabling flexible control over computational resource consumption while maintaining segmentation quality.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10560734B2Video segmentation and searching by segmentation dimensions
Publication Date: 2020.02.11 MICROSOFT TECHNOLOGY LICENSING LLC
  • US10560734B2 patent drawing
  • US10560734B2 patent drawing
  • US10560734B2 patent drawing

AI summary

In various embodiments, methods and systems for implementing video segmentation are provided. A video management system implements a video segment manager that supports generating enhanced segmented video. Enhanced segmented video is a time-based segment of video content. Enhanced segmented video is generated based on a video content cognitive index, segmentation dimensions, segmentation rules and segment reconstruction rules. The video content cognitive index is built for indexing video content. Segmentation rules are applied to the video content to break the video content into time-based segments, the time-based segments are associated with corresponding segmentation dimensions for the video content. Segment reconstruction rules are then applied to the time-based segments to reconstruct the time-based segments into enhanced segmented video. The enhanced segmented video and corresponding values of the segmentation dimensions can be leveraged as distinct portions of the video content for different types of functionality in the video management system.