Highlight Content Generation via Event Detection

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Solution Overview

Problem

Current methods for forming highlight content in broadcasting programs or video-on-demand services lack efficiency in identifying and extracting relevant content around event occurrences, often missing key moments due to fixed time settings and reliance on user input.

Innovation Solution

A method and apparatus that detect event generation points-in-time based on sound attributes like frequency and amplitude, as well as additional information such as metadata and audience ratings, to dynamically form highlight content for predetermined periods before and after events, allowing for user-defined playback times and extraction periods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If fixed time settings are used for extracting highlight content, then the extraction process is simple, but key moments are missed and accuracy deteriorates

Engineering Contradiction:

Improveevent detection accuracyVSAvoidevent detection system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically detects event generation points by analyzing sound attributes and additional information without requiring manual user input or pre-definition of event times. The event detection unit autonomously identifies key moments based on sound frequency, amplitude changes, and metadata, enabling the system to serve itself in detecting relevant content moments.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual or fixed-time mechanical extraction methods with an automated detection system that uses sound attribute analysis and information processing. Instead of relying on predetermined time intervals or user input, the system uses computational analysis of audio signals and metadata to dynamically identify event moments.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If user input is required for highlight content formation, then extraction can be customized, but efficiency and automation deteriorate

Engineering Contradiction:

Improvehighlight content formation efficiencyVSAvoiduser input requirement

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts the extraction parameters based on detected event characteristics. By analyzing sound attributes (frequency, amplitude) and additional information, the system adapts the highlight content extraction to match the actual event patterns in the program, rather than using fixed user-defined parameters.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If predetermined period is fixed for all events, then processing is simplified, but flexibility and adaptability deteriorate

Engineering Contradiction:

Improveextraction time flexibilityVSAvoidprocessing complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system dynamically determines the predetermined period for each event based on the detected event generation points and program characteristics. Rather than using a fixed extraction window for all events, the system adjusts the extraction time period adaptively according to the specific event context, sound attributes, and additional information available for each detected event.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system applies different extraction parameters to different events based on their local characteristics. Each event receives a customized extraction period determined by its specific sound attributes, metadata, and context within the program, rather than applying a uniform extraction window to all events.

Inventive Principle:

Principle #3Local quality

4Measurement precision

If multiple detection criteria are used for events, then detection accuracy improves, but system complexity increases

Engineering Contradiction:

Improveevent detection accuracyVSAvoiddetection system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The event detection system is divided into separate functional units that analyze different aspects independently: sound attribute analysis (frequency, amplitude), additional information processing (metadata, captions), and event generation point determination. This segmentation allows complex multi-criteria detection to be performed through coordinated simple operations of specialized sub-units.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The event detection unit serves multiple functions simultaneously: it analyzes sound attributes, processes additional information, detects event generation points, and determines extraction parameters. This multi-functionality consolidates what would otherwise require separate systems into a single integrated unit, managing complexity through functional consolidation.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS9055196B2Method and apparatus for forming highlight content

Publication Date: 2015.06.09 SAMSUNG ELECTRONICS CO LTD

AI summary

Provided are apparatuses and methods for forming highlight content, the apparatus including a receiving unit receiving a highlight content formation command which requests formation of the highlight content; an event detection unit detecting an event generation point-in-time for each event of a program from which the highlight content is to be formed, wherein the event generation point-in-time is a point of time at which an event occurs; and a highlight content generation unit forming highlight content for each event from content corresponding to a predetermined period of time ranging before and after the event generation point-in-time.