Impact Sound Identification via Video Frame Analysis

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Solution Overview

Problem

Current technologies face challenges in identifying and capturing the exact sound for impact-related events in HD audio production, particularly in sports broadcasts, as different impacts result in varying sounds, making it difficult to create realistic audio-visual content.

Innovation Solution

A system and method that utilizes intelligent methods to identify the exact digital video frame of an event and creates an Audio-Video Database (AVD) by classifying events based on impact actors, distance scales, and trajectories, determining the intensity of impact in pixels, and matching audio properties to provide the most appropriate sound for impact-related events.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If event sounds are recorded and retrieved from sound libraries, then audio content can be provided for events, but the exact matching of impact-specific sounds becomes difficult and loses realism

Engineering Contradiction:
Improveease of audio content provisionVSAvoidprecision of sound-event matching
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The system changes parameters by analyzing multiple dimensions of the impact event including impactor type, impacted object type, impact velocity, impact angle, and impact location. These parameter variations enable precise matching of event sounds to specific impact characteristics, transforming generic sound library retrieval into targeted sound selection based on measured event parameters.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention segments the impact event into distinct analytical components: identifying the impactor, identifying the impacted object, measuring impact velocity, determining impact angle, and locating impact position. This segmentation allows each parameter to be independently analyzed and combined to select the most appropriate event sound from the audio library, improving matching precision while maintaining systematic ease of operation.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If multiple parameters are analyzed to identify exact impact characteristics, then sound matching accuracy improves, but system complexity increases

Engineering Contradiction:
Improveprecision of impact characterizationVSAvoidcomplexity of analysis system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by using a single integrated platform that performs multiple tasks: video frame analysis, impactor identification, impacted object identification, velocity calculation, angle determination, and sound library searching. This universal system handles all impact characterization functions through coordinated modules, reducing overall system complexity compared to separate specialized systems for each function.

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

Solution Approach 2:

The invention introduces an intermediary event sound library that acts as a mediator between the impact parameters and the final sound selection. The library stores pre-categorized event sounds indexed by impact characteristics, allowing the system to translate complex multi-parameter impact analysis into simplified sound retrieval operations without requiring direct complex processing for each sound matching decision.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If impact intensity is determined using pixel traversal across video frames, then impact measurement precision improves, but processing time increases

Engineering Contradiction:
Improveprecision of impact intensity measurementVSAvoidtime for impact analysis
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system applies preliminary action by pre-processing video frames to identify and track the impactor object before the actual impact event occurs. The impactor's position, velocity, and trajectory are calculated in advance, and the system predicts the impact location and intensity. This preliminary analysis reduces processing time during the actual impact moment while maintaining measurement precision through pre-established tracking data.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The invention implements skipping by selectively analyzing only the critical video frames surrounding the impact event rather than processing every frame in the sequence. The system identifies the impact moment through motion detection algorithms, then concentrates processing resources on the specific frames before, during, and after impact. This approach rushes through the analysis by focusing computational effort only where necessary, reducing overall processing time while maintaining precision at the critical impact measurement points.

Inventive Principle:
Principle #21Skipping (Rushing through)

Data Source

PatentUS8768945B2System and method of enabling identification of a right event sound corresponding to an impact related event
Publication Date: 2014.07.01 SATHYA VIJAY
  • US8768945B2 patent drawing
  • US8768945B2 patent drawing
  • US8768945B2 patent drawing

AI summary

A system and method of enabling identification of a right event sound (ES) corresponding to an impact related event is described. The instant invention facilitates the identification of the most appropriate sound for an impact related audio-video event thereby enabling the content producers to mix it with the video content and provide the viewers a near life like experience. The instant invention further provides a method to create an Audio-Video Database Library (AVD) to initialize the system. A method of determining the intensity of impact for an event in terms of pixels traversed by the impact object as evaluated across the video frames before, at and after the frame of impact is also discussed herein.