How Ant’s Multimodal Team Boosted Video‑Text Retrieval by 24% and Cut Copyright Search Costs 85%

This article presents Ant Group's multimodal research on video retrieval, detailing a large Chinese video‑text pre‑training dataset, three techniques that raise video‑text semantic search performance by up to 24.5%, and an end‑to‑end video‑video copyright detection system that reduces storage by 85% and speeds up inference 18‑fold.

Multimodal AIcopyright detectionfine-grained modeling

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How Ant’s Multimodal Team Boosted Video‑Text Retrieval by 24% and Cut Copyright Search Costs 85%

DataFunTalk

May 15, 2024 · Artificial Intelligence

Advances in Video Multimodal Retrieval: Video‑Text Semantic Search and Video‑Video Same‑Source Search

This article presents Ant Group's multimodal research on video retrieval, detailing video‑text semantic search and video‑video same‑source search, introducing a large Chinese pre‑training dataset, novel pre‑training, hard‑sample mining, fine‑grained modeling techniques, and an efficient end‑to‑end copyright detection framework.

Multimodal AIcopyright detectionfine-grained modeling

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