Image Matching via Text Descriptors for Media Items
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Solution Overview
Problem
There is a need for systems and methods to provide users with images that match media items, enhancing the user experience by replacing or complementing existing images associated with media content, such as album cover art, through analyzing text descriptors associated with both images and media items.
Innovation Solution
The system obtains a collection of images with scores indicating their association with text descriptors and matches these images with media items based on their respective scores, presenting a subset of images that closely fit the media item, thereby enhancing the visual experience during media consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text descriptor analysis is used to match images with media items, then image relevance to media content is improved, but system complexity increases
Solution Approach 1:
The patent introduces text descriptors as an intermediary element that bridges images and media items. Instead of directly comparing images with media content, the system converts both into text descriptor representations (using OCR for images and text analysis for media items), then matches them through text similarity. This intermediary approach improves matching accuracy while keeping the system architecture manageable by breaking down the complex comparison task into simpler text-based operations.
2Measurement precision
If multiple text descriptors are analyzed for each image and media item, then matching precision is improved, but computational resources required increase
Solution Approach 1:
The system analyzes multiple text descriptors for comprehensive matching but applies a scoring mechanism that prioritizes the most relevant descriptors. By calculating similarity scores for each text descriptor pair and selecting images based on cumulative scores, the system achieves high precision without exhaustively processing every possible descriptor combination, thus balancing computational efficiency with matching accuracy.
Data Source
AI summary
An electronic device obtains a collection of images and obtains a media item. The electronic device selects a subset of the collection of images, including: selecting an initial subset of the collection of images, wherein the initial subset of the collection of images is based on descriptors associated with the collection of images and/or the media item; obtaining a set of preferences for a user of the media-providing service; and selecting the subset of the collection of images from the initial subset of the collection of images based on the set of preferences for the user of the media-providing service. The electronic device concurrently presents: a respective image of the subset of the collection of images; and the media item.