Context-Aware Image Search Tool for Document Editing
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Solution Overview
Problem
Existing tools for searching stock images require significant user effort to specify queries, conduct searches, and manage results, making the process time-consuming and inefficient, especially when switching between applications for document editing and image searching.
Innovation Solution
Implementing an image search tool that analyzes the context of an image frame within a document to derive query terms, allowing users to select tag elements for search parameters, and automatically conducts image searches, presenting results for seamless insertion into the document without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually specify search queries and conduct image searches using separate applications, then search functionality is available, but user effort and time consumption increase significantly
Solution Approach 1:
The patent merges the image search functionality with the document editing application by integrating a search tool directly into the application. This allows users to conduct image searches without switching to separate applications, combining document editing and image searching into a single unified environment, thereby reducing time loss and improving ease of operation.
Solution Approach 2:
The search tool automatically analyzes the document context (surrounding text, image frame properties) to generate relevant search queries without requiring manual user input. This self-service approach eliminates the need for users to manually craft search queries, significantly reducing user effort and time consumption while maintaining search functionality.
2Productivity
If users switch between applications for document editing and image searching, then comprehensive functionality is maintained, but the process becomes complicated and time-consuming
Solution Approach 1:
The patent combines document editing and image searching functionalities within a single application interface. The search tool is integrated directly into the document editing environment, allowing users to access image search capabilities without switching applications. This merger simplifies the overall process, reducing complexity while maintaining comprehensive functionality for both document editing and image searching.
Solution Approach 2:
The integrated search tool provides multi-functionality by serving both document editing and image searching purposes within a single application. It can analyze document context, generate search queries, display results, and facilitate image insertion all within the same interface, eliminating the need for separate specialized applications and thereby reducing process complexity.
3Ease of operation
If automated context analysis is used to derive query terms, then user effort is reduced, but automation extent increases
Solution Approach 1:
The search tool automatically analyzes the document context surrounding the image frame and generates relevant search queries without requiring any manual user input. This self-service automation extracts text content, identifies key terms, and formulates search queries autonomously, significantly reducing user effort while maintaining ease of operation through the automated process.
Solution Approach 2:
The system performs preliminary automated analysis of the document context before the user needs to conduct the search. By pre-analyzing the surrounding text and image frame properties to generate search queries in advance, the system reduces the user's workload at the moment of search execution, balancing automation extent with ease of operation.
Data Source
AI summary
Techniques to facilitate image searches using context of an image frame in a document are described. In one or more implementations, an image frame included within a document is detected, such as when the frame is inserted or selected. Content in the document in the vicinity of the image frame is analyzed to derive query terms corresponding to the content. Tag elements created for the query terms are exposed to enable selection of individual query terms as search parameters. An image search is conducted using selected query terms and images returned as results of the search are presented a candidates for insertion into the frame. Previews of images as being inserted in the image frame can be exposed show how the document would look with different images placed in the frame. Selection of a particular image from the arrangement causes insertion of the particular image into the image frame.