This article introduces the “delayed enhancement” design principle for video feed ads, explains its two‑stage presentation of conversion components, and details timing, visual and interactive guidance, as well as information and conversion pre‑position tactics that together improve ad conversion rates.
Leveraging AI to analyze visual, audio, and textual cues, this guide details how video ads—pre‑, mid‑, post‑roll, overlays, and product placements—are recognized, generated, and optimized for usefulness, naturalness, and prominence through multimodal pipelines, algorithmic representations, and a scalable delivery architecture.
The talk explains how iQIYI leverages AI—through video understanding, tag generation, graph construction, and scene‑based point selection—to automatically create and place diverse ad formats, optimizing ad inventory, relevance, and revenue while meeting brand and production constraints.
This article explores how AI is used in iQIYI's video advertising pipeline to analyze video content, generate and recommend ad placement points, create scene‑aware ad creatives, build a video knowledge graph, and support various ad formats, ultimately improving ad relevance and revenue.
By integrating YOLOv3 video object detection into Youku’s ad platform, the team replaced traditional subtitle‑based and scene‑based placements with precise object‑level targeting, achieving higher relevance, expanded inventory, and a 20% click‑through increase despite 3.5× higher exposure.
