Content Management System Using Confidence-Based Spatial Positioning
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Solution Overview
Problem
In film and television production, crew members spend time manually monitoring shots and scene changes, writing time codes and scene numbers, which is time-consuming and inefficient.
Innovation Solution
A method and system that uses a server and client to identify objects of interest in captured content, upload images to a server for recognition, generate confidence scores, and arrange search results based on object selection, allowing for quick display of relevant content by positioning representations according to confidence scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring and writing of time codes and scene numbers is used, then crew members can track production details, but it is time-consuming and reduces productivity
Solution Approach 1:
The patent replaces the manual mechanical process of writing time codes and scene numbers with an automated computer vision system that uses image recognition and object detection algorithms to automatically identify and record production details, thereby eliminating manual labor while maintaining tracking accuracy
Solution Approach 2:
The system enables self-service automation where the camera and computing system automatically monitor and record production details without requiring crew members to manually track shots and scene changes, allowing the system to serve itself in performing monitoring tasks
2Quantity of substance
If search results are displayed in traditional linear order, then all content can be shown, but relevant content is not easily accessible and increases viewing time
Solution Approach 1:
The patent transforms the traditional linear one-dimensional search results display into a two-dimensional spatial map interface where content is positioned based on multiple dimensions including confidence scores and spatial relationships, allowing users to quickly locate relevant content visually without sequential scanning
Solution Approach 2:
The system applies different positioning strategies to different content elements based on their local characteristics - content with higher confidence scores is positioned closer to the query point, while related objects are positioned according to their spatial relationships in the original scene, creating a differentiated layout that optimizes access to relevant content
Data Source
AI summary
A method of producing the results of a search for content for display on a client is described. The method comprises: identifying a plurality of objects of interest; uploading an image of each of the plurality of objects to a server; uploading captured content to the server, the captured content including the plurality of objects; performing, on the server, recognition of each of the objects in the captured content; generating a confidence score indicating the probability of each of the recognized objects being present in the content; receiving, from the client, an object selection, wherein the results of the search are arranged on the basis of the selected object; and generating the results of the search on the server for downloading to the client for display on the client, wherein a representation of the captured content is located between a representation of the selected object and another of the plurality of objects, the distance between the representation of the captured content and the plurality of objects being determined in accordance with the confidence score.