AI Video Poster Generation with Scene Adaptation
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Solution Overview
Problem
Existing video poster display methods on smart TVs face issues with readability, limited design resources, and weak main information presentation, leading to poor display effects and low film differentiation, making it difficult for users to quickly identify content.
Innovation Solution
A method and system using artificial intelligence to calculate the matching degree between image description text and video keywords, separate elements, and process them to create a new poster that is adaptable to the target scene, enhancing readability and differentiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a fixed header display is added to the poster for video title and genre information, then the information completeness is improved, but the readability deteriorates due to overlap with existing character information on the original poster
Solution Approach 1:
The patent segments the poster into distinct functional regions: a header region for video title and genre information, and a content region for original poster imagery and text. This spatial segmentation prevents overlap between added information and original content, simultaneously achieving information completeness and readability.
Solution Approach 2:
The patent resolves the information overlap problem by transitioning from a single-layer poster design to a multi-layer composition. The header information is positioned in a separate dimensional space (upper portion) from the original poster content (lower portion), allowing both to coexist without interference and maintain各自的 readability.
2Adaptability or versatility
If AI-based element separation and recombination is applied to posters, then the adaptability to different scenes is improved, but the device complexity increases
Solution Approach 1:
The patent performs element separation and poster composition in advance, creating pre-processed poster components (header, body, footer elements) that can be quickly assembled and adapted to different display scenes without requiring complex real-time processing, thus reducing operational system complexity.
Solution Approach 2:
The patent creates standardized poster templates with reusable elements (headers, footers, background patterns) that can be copied and adapted across different scenes. This template-based approach reduces the need for complex custom processing in each scenario, lowering device complexity while maintaining adaptability.
Data Source
AI summary
A method for displaying a video poster based on artificial intelligence is provided. The method includes obtaining a target video and at least one poster according to a user input, calculating a matching degree of an image description text of the at least one poster and a description text keyword of the target video, and sorting the at least one poster according to the matching degree in an order from high to low, to obtain a sorted poster sequence; performing element separation on one of the at least one poster with a highest matching degree in the poster sequence to obtain a main body element and a background element; and processing the main body element, the background element and title information of the target video according to requirements of a target scene to synthesize a new poster.