User-Entered Metadata Augmentation for Search-Aware Media Thumbnails
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Solution Overview
Problem
Existing systems for providing on-demand streaming media services lack an efficient interface for users to select media programs due to the vast number of available options, and current metadata does not provide search term-aware thumbnails, leading to inadequate user experience and misrepresentation of content.
Innovation Solution
A method that obtains and verifies user-entered metadata for objects in media programs, compares it with metadata from other users, and associates it with specific frames to generate search term-aware thumbnails and video clips, enhancing metadata storage and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional streaming media services provide a vast number of media programs, then the availability and variety of content increases, but the user interface becomes inefficient for selection and navigation
Solution Approach 1:
The patent introduces metadata as an intermediary layer between the vast number of media programs and the user interface. This metadata includes search term-aware thumbnails and video clips that act as mediators, allowing users to efficiently search and select content without being overwhelmed by the sheer quantity of available programs. The metadata serves as a bridge that translates the large volume of content into manageable, searchable information.
Solution Approach 2:
The patent replaces traditional mechanical navigation interfaces (hierarchical menus, channel surfing) with a search-based system using metadata. Instead of requiring users to manually navigate through layers of menus or continuously scan channels, the system substitutes these mechanical interactions with intelligent search capabilities that use metadata to directly present relevant results, dramatically improving selection efficiency.
2Device complexity
If standard metadata is used for media programs, then the system complexity remains low, but the metadata does not provide search term-aware thumbnails leading to misrepresentation of content
Solution Approach 1:
The patent applies local quality by making metadata search-aware and context-specific. Instead of using uniform, generic metadata for all media programs, the system generates metadata tailored to specific search terms and contexts. This includes creating search term-aware thumbnails and video clips that are locally optimized to represent content relevant to particular search queries, thereby improving content representation accuracy without uniformly increasing system complexity across all metadata.
Solution Approach 2:
The patent implements preliminary action by pre-generating and storing metadata, including thumbnails and video clips, that are aware of potential search terms. This metadata is prepared in advance and associated with media programs before users perform searches. When users search, the pre-prepared metadata immediately provides accurate content representation without requiring real-time generation, thus improving information accuracy while managing system complexity through advance preparation.
3Measurement precision
If user-entered metadata is collected and verified from multiple users, then the metadata accuracy and usefulness increase, but the processing time and computational resources increase
Solution Approach 1:
The patent merges metadata from multiple users by collecting, comparing, and consolidating user-entered metadata contributions. Instead of processing each user's input separately and independently, the system combines multiple user inputs into a unified metadata structure, comparing and verifying information across users to improve accuracy. This merging approach efficiently leverages collective user knowledge while reducing redundant processing.
Solution Approach 2:
The patent implements feedback mechanisms where user-entered metadata is verified and refined through comparison with other users' inputs and existing metadata. The system provides feedback loops that allow metadata to be continuously improved and validated, ensuring accuracy while managing processing time through efficient verification algorithms that leverage patterns and consensus from multiple user contributions.
Data Source
AI summary
In one embodiment, a method obtains metadata associated with a media program. The method receives user entered metadata from a first user for an object in a frame of the media program and compares the user entered metadata from the first user with user entered metadata from second users for the object. Then, the method verifies that the user entered metadata from the first user and the second users should be associated as augmenting metadata for the object in the media program based on the comparison. Upon verifying, the method performs: determining metadata storage including metadata for one or more other objects in the media program and storing the user entered metadata for the object in the media program in the metadata storage for the media program as the augmenting metadata.