Customized Video Preview Generation via Viewer Profile Analysis

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Solution Overview

Problem

Current video preview systems provide generic previews that fail to cater to individual viewer preferences, leading to reduced engagement and decision-making effectiveness for users.

Innovation Solution

An online video server generates customized video previews by selecting and sequencing video clips based on viewer profiles, incorporating highly ranked categories and clips from user preferences, to create a dynamically tailored preview.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a static generic video preview is provided to all users, then the system complexity is low and the preview can be delivered quickly, but the preview fails to cater to individual viewer preferences and reduces user engagement

Engineering Contradiction:
Improveadaptability to individual preferencesVSAvoidpreview generation complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The video preview system transitions from a static generic preview to a dynamic customized preview that adapts to individual viewer preferences. The system dynamically selects and sequences video clips based on real-time analysis of viewer profiles, creating a unique preview for each user while maintaining manageable complexity through automated processes.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system applies local quality by tailoring specific portions of the video preview to match individual viewer preferences. Instead of creating entirely different previews, the system selectively chooses and sequences specific video clips from the source material based on viewer profile characteristics, providing personalized content within a standardized framework.

Inventive Principle:
Principle #3Local quality

2Reliability

If video clips are selected and sequenced based on viewer profiles, then user engagement and decision-making effectiveness improve, but the processing time and computational resources increase

Engineering Contradiction:
Improvedecision-making effectivenessVSAvoidpreview generation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-analyzing and organizing video clips into categories and sequences based on viewer profiles before the actual preview is requested. This advance preparation allows the system to quickly assemble customized previews when users request them, reducing the perceived processing time while maintaining high decision-making effectiveness.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system employs self-service mechanisms by automatically analyzing viewer profiles, selecting appropriate video clips, and sequencing them without requiring manual intervention. This automation reduces both processing time and computational overhead while ensuring consistent, personalized preview generation for each user.

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If a customized video preview is generated dynamically for each user, then the preview relevance and user interest increase, but the system complexity and resource requirements increase

Engineering Contradiction:
Improvepreview customizationVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system achieves universality by creating a multi-functional preview generation platform that can serve diverse viewer preferences within a single standardized framework. The same core system handles different viewer profiles, video types, and preference categories, reducing overall system complexity compared to maintaining separate systems for each scenario.

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

Solution Approach 2:

The system manages complexity by changing parameters such as video clip selection criteria and sequencing rules based on viewer profile attributes, rather than fundamentally altering the system architecture. This parameter-based customization allows high adaptability while maintaining a relatively simple underlying system structure.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10791352B2Generating customized video previews
Publication Date: 2020.09.29 ADOBE INC
  • US10791352B2 patent drawing
  • US10791352B2 patent drawing
  • US10791352B2 patent drawing

AI summary

A dynamically created video preview can be provided to a viewer by stitching relevant video clips from a target video based on a viewer profile of the viewer. In various embodiments, a computer receives a request from a viewer to preview a video. The computer can then select one or more clips from the video based on the viewer profile of the viewer. Thereafter, the computer can generate a customized video preview from the one or more selected clips for the viewer based on the viewer profile. Other embodiments may be described and/or claimed.