Video Template Tag Matching for Dynamic Content Generation
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Solution Overview
Problem
Monotonous text presentation in multimedia applications, such as job descriptions on job-hunting websites, fails to engage users effectively, leading to a low sensory experience.
Innovation Solution
A video processing method that determines a target video template with tagged fields, matches data to be filled with corresponding tags, and fills the data into the template to create enriched video content, enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If text-based information is used for data presentation, then the information can be clearly conveyed, but the user engagement and sensory experience deteriorate
Solution Approach 1:
The patent transforms the presentation format parameter from static text to dynamic video content, fundamentally changing how information is displayed and consumed by users
Solution Approach 2:
The patent transitions from one-dimensional text presentation to multi-dimensional video presentation, incorporating visual, auditory, and temporal elements to enhance user experience
2Ease of operation
If manual video editing is performed to enrich data display, then user experience improves, but time consumption and operational complexity increase
Solution Approach 1:
The patent pre-prepares video templates with all necessary editing, transitions, and formatting completed in advance, allowing users to simply fill in data without performing manual editing operations
Solution Approach 2:
The patent uses pre-designed video templates that can be repeatedly copied and customized with different data sets, eliminating the need to create video content from scratch each time
3Productivity
If automated data filling is performed without tag matching, then processing speed increases, but data accuracy and field correspondence deteriorate
Solution Approach 1:
The patent implements a tag matching mechanism that provides feedback verification to ensure data correctly corresponds to the intended fields in the video template, maintaining accuracy while enabling automated processing
Data Source
AI summary
A video processing method, apparatus, and device, and a storage medium are provided. The method includes: firstly, determining a target video template, the target video template including a correspondence between a video editing track and a field having a tag; then, obtaining a material to be filled, the material to be filled including data to be filled having a tag; and further, performing matching between the tag of the data to be filled and the tag of the field in the target video template, and filling the data to be filled corresponding to a successfully matched tag into the field having the tag in the target video template to obtain a first video.


