Picture and video-oriented advertisement material batch generation system and method
By using semantic enhancement processing and iterative memory modules to deeply analyze advertising creative generation requirements, the problem of inconsistent batch generation of advertising creatives in existing technologies has been solved, enabling high-quality multi-platform, multi-size, and multi-format creative generation.
Patent Information
- Application Number
- CN202610222991.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-25
- Publication Date
- 2026-06-05
AI Technical Summary
Existing methods for batch generating advertising creatives cannot fully meet the needs of multiple platforms, sizes, and formats. The generated creatives cannot be fully aligned with advertising requirements, resulting in inconsistent use of creatives and poor quality.
The semantic enhancement processing module is used to deeply analyze the advertising material generation requirements. The set of semantic features of the generation requirements is determined through explicit and implicit semantic enhancement processing. Combined with the batch iterative memory processing module for images and videos, the consistency of the materials is checked to ensure the coherence and quality of the generated results.
It enables in-depth analysis of advertising creative generation needs from both explicit and implicit dimensions, improving the coherence and quality of batch-generated creatives, and enhancing the accuracy and consistency of creative generation.