Analytic Application Generation from Media Files

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Solution Overview

Problem

Users face difficulties in migrating existing business analytic applications to new systems, converting reports to dashboards or vice versa, and extracting features from media files to generate analytic applications efficiently.

Innovation Solution

A method that extracts features from media files, classifies text using semantic analysis, binds columns to visualizations, applies data selection criteria, and creates a new color palette based on dominant colors to generate analytic applications from images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual processes are used for migrating analytic applications and converting reports to dashboards, then users can maintain control over the process, but the process requires significant time and effort

Engineering Contradiction:

Improveease of migrationVSAvoidtime required for conversion

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs automated feature extraction from media files, automatic text classification using semantic analysis, and autonomous binding of dataset columns to visualizations. The application self-configures color palettes by analyzing dominant colors in source images, eliminating the need for manual intervention in these tasks while maintaining high-quality results

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical processes of copying, pasting, and configuring analytic application elements are replaced with automated image processing, semantic text analysis, and intelligent data binding algorithms. The system substitutes human operators with computational processes that extract features from media files and automatically reconstruct analytic applications

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated feature extraction is implemented, then productivity increases, but the system complexity increases

Engineering Contradiction:

Improveapplication generation speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The complex automated system is divided into distinct functional modules: media file processing module for extracting features, semantic analysis module for text classification, data binding module for column-visualization mapping, and color palette generation module for theme extraction. Each module handles a specific task independently, making the overall complex system manageable and maintainable

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A standardized data structure serves as an intermediary between the feature extraction from media files and the analytic application generation process. This intermediate representation layer abstracts the complexity of image processing and semantic analysis, providing a clean interface for the application construction phase

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11823470B2Generating analytic applications from a media file

Publication Date: 2023.11.21 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

In an approach to improve generating an analytic application embodiments generate an analytic application from an image. Embodiments determine an orientation, font size, and color of a text, wherein the text is selected from one or more texts that are part of a visualization from the image. Embodiments classify the text using semantic analysis having predetermined criteria to create a result. Furthermore, embodiments bind one or more columns from a dataset to the visualization using the result of the semantic analysis, and apply a selection identified using predetermined criteria, comprising sorting, filtering, grouping, and aggregating, to data of the visualization. Additionally, embodiments create a new color palette having a dominant color in the analytic application, wherein the dominant color is identified as a most recurring color in the visualization of the image, and apply the new color palette to the analytic application.