Time-Period Entity Image Selection for Media Lists

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Solution Overview

Problem

Conventional media applications face difficulties in determining which images to present when displaying a list of media items associated with multiple entities, leading to a lack of relevance and engagement in user interfaces.

Innovation Solution

A method that identifies entities associated with media items in a list and selects images from a database based on specific time periods related to each media item, allowing for the presentation of relevant images in the user interface, such as a slideshow or collage, during media list activation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple images of media entities are presented based on time periods, then user engagement and interface beauty are improved, but device complexity and processing requirements increase

Engineering Contradiction:
Improveuser engagementVSAvoidprocessing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system pre-processes and stores entity images organized by time periods in a database during system initialization or offline processing. This preliminary organization allows the media player to quickly retrieve appropriate images during media playback without performing complex real-time analysis, thus improving user engagement while minimizing processing complexity during actual use.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

A database structured with entity identifiers and time period associations serves as an intermediary between the media player and the image repository. This intermediary layer pre-organizes the relationship between media entities, their time periods, and associated images, allowing the player to simply query and display images without performing complex matching algorithms in real-time.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If images are selected based on specific time periods, then image relevance to media items is improved, but data processing and matching complexity increase

Engineering Contradiction:
Improveimage relevanceVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs time period extraction and image matching in advance, storing the results in a pre-organized database structure. During media playback, the system only needs to retrieve the pre-matched image based on the media item's entity and time period, eliminating the need for complex real-time image analysis and matching operations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The image database is segmented by entity identifiers and time periods, creating a hierarchical structure that separates the complex matching task into simple lookup operations. This segmentation allows the system to achieve high image relevance through straightforward database queries rather than complex processing during media playback.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If a database of entity images organized by time periods is maintained, then image selection accuracy is improved, but storage requirements and data management complexity increase

Engineering Contradiction:
Improveimage selection accuracyVSAvoiddata storage requirements
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The system extracts only the essential elements needed for accurate image selection—entity identifiers and time period metadata—and stores them in a compact database structure. This extraction approach maintains high image selection accuracy by preserving the key matching criteria while minimizing redundant data storage.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The image database structure is designed to serve multiple media items and entities simultaneously through a universal organization scheme. By using entity identifiers and time periods as universal keys, the system can efficiently match images across different media contexts without requiring separate storage structures for each media item, thus reducing overall storage requirements.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS9977784B2Presenting images of multiple media entities
Publication Date: 2018.05.22 GOOGLE LLC
  • US9977784B2 patent drawing
  • US9977784B2 patent drawing
  • US9977784B2 patent drawing

AI summary

Methods and systems for presenting multiple images of entities associated with media items in a media list are provided. A method may include identifying a first entity associated with a first media item in a media list. The first media item may be associated with a first time period. A second entity associated with a second media item may be identified in the media list. The second media item may be associated with a second time period. Next, from a database of entity images, a first image of the first entity may be selected based on the first time period and a second image of the second entity may be selected based on the second time period. As a result, the first image and the second image may be presented in an interface during activation of the media list.