Multimedia Analysis Engine for Contextual Data Generation

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Solution Overview

Problem

Conventional methods fail to efficiently help users select and consume multimedia content that matches their intended viewing experience, as they lack intelligent systems for identifying user intent, generating insights, and providing relevant summaries and analytics, leading to time-consuming searches and inefficient information access.

Innovation Solution

An electronic device equipped with a multimedia analysis engine that extracts contextual data elements such as keywords, summaries, chapters, index tables, questions, analytics, and emotions from multimedia content, enabling users to navigate and understand multimedia effectively by generating contextual data elements through analysis of audio and video portions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If users manually search and select multimedia content based on titles or manual tags, then they can access multimedia content, but the process is time-consuming and the context establishment is inaccurate

Engineering Contradiction:

Improvetime spent on searching and selecting multimediaVSAvoidaccuracy of context establishment

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The system performs preliminary analysis of multimedia content to automatically generate context elements (keywords, summaries, chapters, index tables) before the user needs to consume the content. This advance preparation eliminates the time users would otherwise spend manually searching and establishing context, while ensuring accurate context representation through automated analysis.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary system that acts as a bridge between raw multimedia content and user consumption. This intermediary automatically extracts and structures context elements (keywords, summaries, chapters, index tables) from the multimedia, providing users with pre-processed, easily consumable context information without requiring manual tag creation or interpretation.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If comprehensive multimedia content is provided, then users can access detailed information, but users cannot quickly identify important concepts and analytics

Engineering Contradiction:

Improveaccess to detailed multimedia informationVSAvoidtime to identify important concepts

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent segments comprehensive multimedia content into structured context elements including keywords, summaries, chapters, and index tables. This segmentation organizes the detailed information into manageable, hierarchically arranged components that users can navigate efficiently, allowing quick identification of important concepts without losing access to the full detailed content.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system extracts key context elements (keywords, summaries, important concepts, analytics) from the comprehensive multimedia content and presents them separately as navigable structures. This extraction allows users to quickly access and identify important information without having to process the entire comprehensive content, thereby reducing time while preserving information access.

Inventive Principle:

Principle #2Taking out (Extraction)

3Adaptability or versatility

If manual tags are used to describe multimedia context, then content can be categorized, but the tags may be inappropriate and not map with the actual context

Engineering Contradiction:

Improvecontent categorization capabilityVSAvoidaccuracy of context mapping

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system enables multimedia content to self-describe by automatically generating context elements (keywords, summaries, chapters, index tables) directly from the content itself rather than relying on external manual tagging. This self-service approach ensures that the context representation accurately reflects the actual content, eliminating the mismatch problems inherent in manual tagging while maintaining categorization versatility.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS10911840B2Methods and systems for generating contextual data elements for effective consumption of multimedia

Publication Date: 2021.02.02 STREAMINGO SOLUTIONS PTE LTD

AI summary

Embodiments herein disclose methods and systems for identifying consumption intent of a user in multimedia of an electronic device. A method disclosed herein includes generating contextual data elements for content of the multimedia, wherein the contextual data elements include direct and implied information of the multimedia that enable a user to match and validate intent of consuming the content of the multimedia. The contextual data elements include a text summary, a visual summary, keywords and/or keyphrases, paragraphs, chapters, index tables, questions, analytics, emotions and insights for the content of the multimedia. Further, the method includes displaying the contextual data elements to the user. The user uses the contextual data elements to navigate within the multimedia/across multiple multimedia.