Visual Storytelling Reconstruction in AI-Generated Video Ads | ||
| International Design Journal | ||
| Article 21, Volume 15, Issue 6 - Serial Number 68, November and December 2025, Pages 265-276 PDF (1.47 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/idj.2025.411974.1406 | ||
| Author | ||
| samah haroun abd el salam* | ||
| advertising-applied art 6october | ||
| Abstract | ||
| The advertising industry has undergone a significant transformation in visual content production with the emergence of generative AI, particularly in the realm of video advertising. This technological shift enables a new mode of visual storytelling capable of conveying meaning and emotion without relying on verbal or textual elements. The present study analyzes the effectiveness of generative tools, specifically platforms such as Veo, in recreating a visual advertising narrative that is comparable in structure, tone, and impact to a traditionally produced advertisement. A qualitative visual analysis was conducted using three core criteria: narrative clarity, preservation of visual identity, and composition quality. These criteria were operationalized through an evaluation matrix based on established theoretical frameworks and literature. Findings indicate that the AI-generated advertisement achieved a high alignment with the original version, successfully preserving both the brand message and visual coherence. These results suggest that generative AI holds strong potential for reconstructing visual narratives effectively, without the reliance on conventional production workflows. | ||
| Keywords | ||
| Visual Storytelling; Video Ads; Visual Composition; Generative AI; Reconstruction | ||
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