Personalized Content Navigation for Fast Scene Access
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Solution Overview
Problem
Content streaming platforms face challenges in helping users discover relevant and engaging content due to large catalogs, non-intuitive navigation, and the difficulty in accessing specific content portions like favorite scenes without repetitive manual navigation.
Innovation Solution
A system generates and filters content portions based on user profiles and metadata tags, allowing for personalized playlists of scenes or clips tailored to user preferences, enabling easy access and transition to full-length content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users browse through large content catalogs using traditional navigation methods, then users can access a wide variety of content, but navigation time and complexity increase significantly
Solution Approach 1:
The patent replaces manual mechanical navigation (scrolling, searching, clicking through menus) with an optical/visual recognition system. The device captures images of content displays, automatically identifies the content being viewed, and retrieves related information or additional content portions, substituting the mechanical navigation process with automated image processing and content recognition.
Solution Approach 2:
The patent introduces an intermediary content portion (such as a trailer, preview, or related clip) that mediates between the user's interest in full content and the platform's content catalog. This intermediary serves as a bridge, allowing users to quickly assess content relevance without navigating through the entire catalog or watching full content.
2Ease of operation
If users manually navigate to specific scenes within full-length content, then users can access desired content portions, but the process is time-consuming and must be repeated each time
Solution Approach 1:
The patent performs preliminary action by pre-segmenting full-length content into multiple content portions (scenes, clips, segments) and storing metadata about each portion. When a user views or searches for content, the system has already prepared the segmented structure, eliminating the need for users to manually navigate through entire films or shows to find specific scenes.
Solution Approach 2:
The patent creates simplified copies or representations of the original content structure. Instead of requiring users to navigate the full-length content, the system creates a condensed version (content portion) that captures essential scenes or moments, allowing users to access specific content portions directly without repeating the manual navigation process.
3Loss of information
If text-based search is used to find content, then users can locate specific titles, but the search is only effective when terms match predefined index terms requiring iterative guessing
Solution Approach 1:
The patent replaces text-based mechanical search (typing keywords, selecting from dropdowns, iterating through results) with visual image-based search. Users can capture or upload an image of the content they want to find, and the system performs optical recognition to identify the content, eliminating the need for text matching and iterative searching.
Solution Approach 2:
The patent changes the search parameter from text-based (keywords, titles, descriptions) to image-based (visual content recognition). This parameter change allows users to search for content by its visual appearance rather than by text matches, fundamentally altering how content is located and eliminating the limitations of predefined index terms.
4Loss of information
If GUI tiles are used to display content information, then users can see illustrative content details, but physical device constraints limit the display area requiring extensive scrolling
Solution Approach 1:
The patent extracts only the most relevant content portions or key information from full content displays, presenting them as condensed content portions rather than requiring users to scroll through extensive GUI tiles. This extraction principle allows the system to display essential content information in a compact format that fits within device constraints while maintaining information quality.
Data Source
AI summary
A method includes generating, by an application executed by a processing element, a first set of content portions from a plurality of content portions based on a first plurality of predetermined stored metadata tags in a user profile of a user; generating, by the application, new priority metadata tags based on a calculated similarity between the first plurality of predetermined stored metadata tags and content metadata tags in the first set of content portions, wherein at least one of the new priority metadata tags corresponds to a franchise.