Automated AR Content Curation for Composite Highlight Reels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users often miss viewing augmented reality (AR) experiences and content shared by others due to busy lives, leading to low engagement with messaging platforms, and existing technologies lack efficient methods for curating and presenting AR content in a compelling format.
Innovation Solution
The system automatically curates AR content, images, and videos to generate composite AR content items, which are presented in a highlight reel format, using image processing operations, motion sensor input, and machine learning algorithms to enhance user interaction and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually view and interact with AR content shared by others, then user engagement increases, but users miss content due to busy lives and low engagement results
Solution Approach 1:
The system automatically curates and compiles AR content into highlight reels in advance, so that when users access the platform, the content is already organized and ready for viewing. This eliminates the need for users to spend time manually searching or filtering content, allowing them to engage with curated highlights efficiently.
Solution Approach 2:
The system acts as an intermediary between content creators and users by automatically selecting, curating, and presenting AR content in a compiled format. This intermediary process filters and organizes content before presentation, enabling users to engage with relevant highlights without the time investment of manual content discovery.
2Productivity
If AR content is presented in traditional formats, then content delivery is simple, but user engagement remains low due to lack of compelling presentation
Solution Approach 1:
The system merges multiple individual AR content items into a single compiled highlight reel that presents multiple experiences in sequence. This combining approach creates a more engaging format that showcases diverse content while maintaining manageable complexity through automated selection and compilation processes.
Solution Approach 2:
The system dynamically selects and compiles AR content based on various criteria such as popularity, recency, and user preferences. This dynamic curation process adapts the content selection and presentation format to maximize engagement while the automated nature keeps the operational complexity manageable.
3Manufacturing precision
If the system automatically curates AR content using image processing and machine learning, then content presentation quality improves, but processing time and computational resources increase
Solution Approach 1:
The system performs image processing, analysis, and curation operations in advance to compile highlight reels before users access them. By conducting these computationally intensive tasks beforehand, the system achieves high curation quality while users experience minimal wait time when accessing the compiled content.
Solution Approach 2:
The system creates compiled copies of selected AR content items that are pre-processed and organized. Instead of performing real-time processing when users request content, the system uses pre-computed and pre-compiled versions, significantly reducing user-perceived processing time while maintaining high quality through careful selection and curation.
Data Source
AI summary
The subject technology selects a plurality of augmented reality (AR) content items based at least in part on a set of attributes. The subject technology analyzes each of the selected plurality of AR content items to determine an inclusion of textual information, identify an area of interest, or detect panning motion. The subject technology modifies each of the selected plurality of AR content items based at least in part on the analyzing. The subject technology generates, using at least the modified plurality of AR content items, a composite AR content item, the composite AR content item comprising a sequence of different AR content items, each of the different AR content items corresponding to a modified AR content item from the modified plurality of AR content items. The subject technology causes display, at a client device, the generated composite AR content item.