Popularity-Ranked Video Selection for Text Material Generation
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Solution Overview
Problem
Existing short video recording processes face challenges in creating high-quality text materials that can attract audiences, necessitating improved methods for obtaining and generating relevant information to enhance video quality.
Innovation Solution
A method and apparatus for obtaining text material by selecting high-quality candidate videos based on popularity and object information, generating text material from these videos, and displaying them to users for creative inspiration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple candidate videos are collected and manually screened to create text material, then the quality of text material can be improved, but the time consumption and operational complexity increase significantly
Solution Approach 1:
The system automatically screens candidate videos and generates text material without requiring manual intervention. The video screening module autonomously evaluates videos based on popularity metrics and object information, and the text generation module automatically creates text material from selected videos, enabling the system to serve itself and eliminate time-consuming manual operations
Solution Approach 2:
The patent replaces the mechanical manual screening and text creation process with an automated computational system. The video screening module uses algorithmic evaluation of popularity data and object information to replace human judgment, while the text generation module uses automated text extraction and synthesis to replace manual text writing, thereby significantly reducing time consumption
2Manufacturing precision
If comprehensive video screening and selection processes are implemented, then the quality of recommended videos improves, but the system complexity increases
Solution Approach 1:
The patent divides the video selection system into distinct functional modules: a video acquisition module that collects candidate videos, a video screening module that evaluates videos based on popularity and object information, and a text generation module that creates text material. This segmentation allows each module to perform its specific function independently, simplifying the overall system architecture while maintaining comprehensive screening capabilities
Solution Approach 2:
The patent introduces a video screening module as an intermediary between video acquisition and text generation. This intermediary module processes videos based on popularity metrics and object information, filtering and selecting appropriate videos before they reach the text generation stage. This intermediary layer manages system complexity by handling the computational burden of video evaluation separately from the other modules
3Productivity
If automated text generation from videos is implemented, then productivity in creating text material increases, but the precision and quality of text material may deteriorate
Solution Approach 1:
The patent replaces manual text creation with an automated text generation module that extracts text from selected videos. This automated system uses video content analysis and text extraction algorithms to generate text material efficiently, maintaining quality by relying on the previously selected high-quality videos as source material
Solution Approach 2:
The patent performs preliminary video screening and selection before text generation. The video screening module pre-evaluates and selects high-quality videos based on popularity and object information, ensuring that the automated text generation process works with already-filtered, high-quality source material. This preliminary action guarantees text quality while enabling automated high-speed generation
Data Source
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AI summary
The present disclosure relates to a method, apparatus, device, storage medium, and program product for obtaining text material, comprising: in response to a material obtaining instruction, obtaining a set of candidate videos associated with a target object comprising a plurality of posted candidate videos; for each candidate video, determining the popularity of the candidate video based on the playing data of the candidate video and/or the object information of the explained object included in the candidate video; selecting recommended videos based on popularity for display; in response to a selection operation for the recommended video, generating text material corresponding to the target object based on key information in the recommended video. The present disclosure first obtains a video set associated with the target object, then selects higher quality recommended videos based on the video playing data and the object information of the explained object in the video, and obtains the text material of the target object from the selected recommended video, so that users can quickly review the recommended videos and obtain creative inspiration.