Multimedia Focalization Engine for Faster Show Art Recognition
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Solution Overview
Problem
Existing multimedia content navigation systems require users to spend significant time analyzing complex show art images to identify relevant content, as images have become more intricate to appeal to diverse audiences, leading to inefficient user interaction and navigation in large digital libraries.
Innovation Solution
A focalization engine analyzes show art images to identify multiple secondary images, selecting a preferred sub-image based on user information, which is presented to viewers, reducing recognition time and improving navigation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If show art images are made more complex to appeal to diverse audiences, then the ability to attract different viewer segments is improved, but the time required for viewers to analyze and locate objects of interest increases
Solution Approach 1:
The patent segments complex show art images into multiple distinct objects of interest (faces, logos, text, etc.) and identifies specific focal points within each object. By breaking down the complex image into analyzable components and pre-identifying focal points, the system enables rapid navigation without requiring viewers to analyze the entire complex image, thus maintaining versatility while reducing analysis time
Solution Approach 2:
The system performs preliminary analysis of show art images to pre-identify objects of interest and focal points before the viewer arrives. This advance preparation creates a database of focal point locations that can be quickly accessed during viewer navigation, eliminating the need for real-time analysis of complex images and significantly reducing viewer waiting time
2Adaptability or versatility
If multiple different pieces of show art are created to communicate different aspects of content, then the ability to attract various viewer segments is improved, but the complexity of content presentation and navigation increases
Solution Approach 1:
The patent merges the functionality of multiple separate show art images into a single comprehensive image by identifying and marking multiple objects of interest within one image. Instead of requiring separate images for different content aspects (genre, cast, schedule), the system detects and focalizes all these elements in one image, reducing navigation complexity while maintaining the ability to communicate multiple aspects
Solution Approach 2:
The system creates a universal show art image structure that can serve multiple functions simultaneously. By embedding multiple objects of interest (faces, logos, text) with identified focal points within a single image, the image becomes multi-functional, communicating genre, cast, and schedule information all at once, eliminating the need for multiple specialized images
3Speed
If facial recognition and object detection are implemented to identify focal points, then viewer recognition speed is improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The system implements self-service by automatically performing facial recognition, object detection, and focal point identification without requiring manual intervention. The automated processing pipeline detects faces, logos, and text; identifies focal points within each object; and stores this information in a database, enabling rapid viewer recognition while managing processing complexity through automation rather than manual methods
Data Source
AI summary
Example implementations are directed to methods and systems for individualized multimedia navigation and control including receiving metadata for a piece of digital content, where the metadata comprises a primary image and text that is used to describes the digital content; analyzing the primary image to detect one or more objects; selecting one or more secondary images corresponding to each detected object; and generating a data structure for the digital content comprising the one or more secondary images, where the digital content is described by a preferred secondary image.