Personalized Video Generation via Cloud Cluster Segmentation

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Solution Overview

Problem

Existing digital video advertising methods fail to provide personalized content that resonates with specific user segments, leading to ineffective marketing and high computational costs due to generic content distribution and quality degradation issues.

Innovation Solution

A method and system utilizing a computing cluster or cloud with a core rendering engine to process, encode, and distribute personalized videos based on user preferences, demographics, and regional attributes, while ensuring quality through a verification module that detects and rectifies defects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If generic commercial videos are mass distributed to wide audiences, then distribution reach is improved, but user personal connection and marketing effectiveness deteriorate

Engineering Contradiction:
Improvedistribution reachVSAvoiduser personal connection
Core Design Contradiction:
Area of stationary objectVSAdaptability or versatility

Solution Approach 1:

The patent segments the audience into different user groups based on demographic, geographic, and behavioral characteristics. Instead of treating all users uniformly, the system divides the market into distinct segments and delivers customized video content to each segment, thereby maintaining wide distribution reach while improving personal connection through targeted content delivery.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by customizing video content according to specific user attributes such as location, age group, and viewing history. Different regions and user segments receive videos with locally relevant content, languages, and preferences, ensuring that each user group experiences content tailored to their specific context while the overall distribution network maintains broad reach.

Inventive Principle:
Principle #3Local quality

2Adaptability or versatility

If personalized video content is generated for specific user segments, then marketing effectiveness is improved, but computational demand and distribution costs increase

Engineering Contradiction:
Improvemarketing effectivenessVSAvoidcomputational demand
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements preliminary action by pre-generating personalized video content for different user segments before actual distribution. The system creates and stores multiple versions of video content tailored to various demographic and geographic groups in advance, so that when users request content, the appropriate personalized version can be delivered immediately without real-time processing, thereby reducing computational demand during distribution while maintaining high marketing effectiveness.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If rendering processes are intensified to produce large volumes of videos, then content availability is improved, but quality degradation and error rates increase

Engineering Contradiction:
Improvevideo production volumeVSAvoidvideo quality
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent applies copying by creating standardized video templates and master copies that can be replicated across different user segments. Instead of independently rendering completely unique videos for each user, the system uses a core set of high-quality master video files that are copied and adapted with localized parameters (such as language, subtitles, or region-specific elements), thereby maintaining consistent video quality across large production volumes while enabling high content availability.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS9247182B2Using cluster computing for generating personalized dynamic videos
Publication Date: 2016.01.26 AKI TECHNOLOGIES INC
  • US9247182B2 patent drawing
  • US9247182B2 patent drawing
  • US9247182B2 patent drawing

AI summary

Embodiments of the present invention relate to a method of obtaining through a computing cloud, parameters of a digital video. The method further includes modifying by software generators of the computing cloud, one or more of the obtained parameters, such that the modification is based on information relating to segments of the users of the network. The method includes creating by rendering engines of the computing cloud a plurality of versions of the digital video. Each one of the plurality of versions comprises a digital video adapted to appeal to at least one of the segments of the users of the network. Further, the method includes determining a quality of at least one of the plurality of versions of the digital video, as well, as determining whether the at least one of the plurality of versions is viewable to the users of the network based on the determined quality.