Picture Search Shape Classification Contradiction

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Solution Overview

Problem

Existing picture search technologies primarily rely on text-based searches and fail to account for the shape of desired images, leading to users receiving unwanted search results.

Innovation Solution

A method and system that classify pictures based on both keywords and shapes, using characteristic vectors to categorize images by shape types, allowing users to select and retrieve images of specific shapes corresponding to their search queries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If text-based search is used to search for pictures, then the search process is simple and fast, but the search results do not reflect the shape preferences of users

Engineering Contradiction:
Improvesearch process simplicityVSAvoidsearch result relevance
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent segments the picture search process into two independent dimensions: text content search and shape search. The text search component handles keyword matching while the shape search component handles geometric characteristic matching. This segmentation allows each component to optimize for its specific function, with text search remaining simple and fast while shape search adds geometric precision, thereby resolving the contradiction between operational simplicity and search result relevance.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension to the traditional text-based search by adding shape-based search capabilities. Instead of searching only through text attributes, the system now searches through both text content and geometric shapes simultaneously. This dimensional expansion enables the system to capture user preferences for specific shapes while maintaining the simplicity of the search interface, thus improving search result relevance without complicating the user experience.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Measurement precision

If shape-based classification is added to picture search, then search result relevance is improved, but system complexity increases

Engineering Contradiction:
Improvesearch result relevanceVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the search system into distinct modules: a text search module and a shape search module. Each module operates independently with its own processing logic and data structures. The text search module handles keyword matching while the shape search module extracts geometric features and performs shape-based filtering. This modular segmentation isolates the complexity of shape processing from the simplicity of text processing, allowing the system to achieve high search result relevance while maintaining manageable system complexity through clear functional separation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary layer in the form of a shape extraction and classification module that mediates between the raw image data and the search query. This intermediary component extracts geometric characteristics from images and organizes them into a structured format that can be efficiently queried. By introducing this intermediary layer, the system simplifies the interaction between users and the complex shape processing operations, thereby improving search result relevance while concealing the underlying system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8775401B2Shape based picture search
Publication Date: 2014.07.08 ALIBABA GROUP HOLDING LTD
  • US8775401B2 patent drawing
  • US8775401B2 patent drawing
  • US8775401B2 patent drawing

AI summary

The present application relates to a method for implementing picture search and a website server thereof. A method for implementing picture search includes: classifying, according to keywords in advance in a picture database, corresponding pictures by shape of objects in the pictures, and determining a sample picture for each shape type; wherein, after a server receives a picture search request sent from a client, the method includes: searching, by the server, in the picture database for the sample picture of several shape types classified in advance corresponding to the keywords in said search request, and returning, to the client, the searched sample picture of the several shape types; receiving, by the server, the sample picture of a certain shape type determined by the client, and searching, in the picture database for the pictures which correspond to said keywords and satisfy a predetermined request with the characteristic value of said determined sample pictures; returning, by the server, said found pictures to the client. The present application enables the user to search pictures of similar shapes according to the shape types, thereby satisfying the user's search demands.