Grid-Based Annotation for Target Point Data Mining

Solution Overview

Problem

The high cost and inefficiency of manually marking contours for target points of interest in data mining, due to the large number of target points, result in significant manual marking costs and potential errors in data acquisition.

Innovation Solution

A method and apparatus that divide an initial area corresponding to a target point of interest into grids, generating annotations based on characteristics such as dwell time and relevance between grids, to determine whether user data associated with each grid is used to generate attributes of the target point, thereby reducing the need for manual data acquisition and improving data mining efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual marking of contours is used for target points of interest, then user data can be accurately acquired for data mining, but the cost and time consumption increase significantly due to the massive number of target points

Engineering Contradiction:

Improveaccuracy of user data acquisitionVSAvoidtime consumption for manual marking

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent divides the initial area corresponding to a target point of interest into multiple grids, transforming the single complex manual marking task into multiple simpler grid-level automated annotations. This segmentation reduces the time and cost burden while maintaining data quality through systematic processing of smaller units.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system automatically generates annotations for grids based on characteristics such as dwell time and relevance degree, eliminating the need for manual marking. The automated process uses algorithms to determine whether user data associated with each grid should be used for generating attributes of the target point of interest, achieving self-service data acquisition.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If manual marking of contours is used for target points of interest, then accurate user data can be obtained, but the cost increases significantly due to the massive number of target points

Engineering Contradiction:

Improveaccuracy of user data acquisitionVSAvoidcost of manual marking

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

The system automatically generates annotations for grids based on characteristics such as dwell time and relevance degree, eliminating the need for manual marking. The automated process uses algorithms to determine whether user data associated with each grid should be used for generating attributes of the target point of interest, achieving self-service data acquisition.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual marking process with an automated computational system that calculates grid annotations based on objective criteria (dwell time, relevance degree). This substitution eliminates human labor costs while maintaining or improving data accuracy through consistent algorithmic application.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated grid annotation is used instead of manual marking, then processing efficiency increases, but the complexity of the system increases

Engineering Contradiction:

Improvedata processing efficiencyVSAvoidsystem complexity for automated annotation

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the initial area corresponding to a target point of interest into multiple grids, transforming the single complex manual marking task into multiple simpler grid-level automated annotations. This segmentation reduces the time and cost burden while maintaining data quality through systematic processing of smaller units.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses objective parameters such as dwell time and relevance degree to automatically determine grid annotations, replacing subjective manual judgment with quantifiable metrics. This parameter-based approach simplifies the decision-making process while improving consistency and scalability of the annotation system.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11481666B2Method and apparatus for acquiring information

Publication Date: 2022.10.25 BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

AI summary

Embodiments of methods and apparatuses for acquiring information are provided. One implementation of the method can include: determining an initial area corresponding to a target point of interest, and dividing the initial area corresponding to the target point of interest into a plurality of grids; and generating annotations of the plurality of grids respectively based on characteristics of the plurality of grids. Therefore, whether the user data associated with the each of the plurality of grids is used to generate the attribute of the target point of interest may be directly determined based on the annotation of the each of the plurality of grids, thereby saving the spending of the process of acquiring the user data required for generating the attribute of the target point of interest in data mining. The operation state of the target point of interest may be determined based on the annotation of the grid.