Visual Appearance-Based Supplemental Content Selection
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Solution Overview
Problem
Current digital content presentation technologies fail to effectively identify and showcase visually congruent or incongruent content items alongside user-requested content, leading to limited user engagement and discovery of new content.
Innovation Solution
A system and method that utilize feature vectors to select and position supplemental content items based on their visual similarity or dissimilarity to primary content items, enhancing user engagement by presenting visually compelling search results through real-time image searches on web platforms like Flickr and Tumblr.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional search result presentation is used, then search functionality is provided, but user engagement and content discovery are limited
Solution Approach 1:
The patent applies visual appearance analysis by transforming content items into feature vectors that represent their visual characteristics (colors, textures, patterns). The system selects supplemental content based on visual similarity or dissimilarity metrics, effectively using 'visual color changes' to create engaging content presentations that maintain or contrast aesthetic appeal, thereby improving user engagement and content discovery.
2Ease of operation
If visually congruent supplemental content is selected, then visual appeal is enhanced, but system complexity increases due to feature vector processing
Solution Approach 1:
The patent pre-processes content items by extracting and storing feature vectors representing their visual appearances before the actual search and selection process. This preliminary action allows the system to quickly compare visual similarities using pre-computed feature vectors and distance measures, reducing the computational complexity during real-time content selection while maintaining high visual appeal.
3Ease of operation
If real-time visual analysis is performed, then visually compelling results are produced, but processing time increases
Solution Approach 1:
The system performs preliminary extraction and storage of visual feature vectors for content items before they are needed for search results. This pre-processing allows real-time content selection to use pre-computed features and simple distance calculations rather than performing complex visual analysis at query time, thus producing visually compelling results while minimizing processing time.
4Measurement precision
If feature vectors are used to represent visual appearance, then accurate visual matching is achieved, but data storage requirements increase
Solution Approach 1:
The patent transforms complex visual appearance data into compact feature vectors that capture essential visual characteristics (colors, textures, patterns) in a reduced-dimensional space. This parameter transformation maintains accurate visual matching capability by preserving the most discriminative visual features while significantly reducing the storage requirements compared to storing complete image data or detailed visual descriptions.
Data Source
AI summary
Disclosure includes system, method and architecture for selecting supplemental digital content using visual appearance. Digital content that is visually similar, or dissimilar, to digital content requested by a user can he identified and provided for presentation with the requested content. The additional digital content is visually congruent, or visually incongruent, with content requested by a user, such that the additional content is similar, or dissimilar, to the requested content from a visual standpoint. In a presentation of the requested content, the presentation position of each additional content item relative to the presentation position of each requested content can be identified using visual congruence, or visual incongruence.