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DataFunSummit
DataFunSummit
Jan 20, 2024 · Artificial Intelligence

Cross‑Modal Video Open‑Tag Mining: Techniques, Methods, and Applications

The article presents a comprehensive overview of cross‑modal video open‑tag mining, detailing its technical background, related multimodal research methods, a four‑stage open‑tag solution from 360 AI Research Institute, and future application prospects such as unsupervised tag coverage, semantic retrieval, and content moderation.

cross‑modallabel extractionmultimodal AI
0 likes · 15 min read
Cross‑Modal Video Open‑Tag Mining: Techniques, Methods, and Applications
NetEase Media Technology Team
NetEase Media Technology Team
Apr 11, 2022 · Artificial Intelligence

Multimodal Video Tagging: Challenges and a Two‑Stage Recall‑Ranking Solution

To tackle the massive, multimodal tagging challenge of short‑video platforms—characterized by a huge long‑tail tag set, sparse annotations, and uneven modality contributions—the authors propose a two‑stage recall‑ranking system that first retrieves candidates via text, visual, audio and classification cues, then refines them with contrastive learning and extensive hard‑negative sampling, achieving 0.884 tag accuracy in a real‑world news video recommender.

Deep LearningRecommendation systemsembedding
0 likes · 12 min read
Multimodal Video Tagging: Challenges and a Two‑Stage Recall‑Ranking Solution
DataFunTalk
DataFunTalk
Sep 29, 2019 · Artificial Intelligence

UC Information Flow Video Tag Recognition: System Architecture and Multi‑Modal Algorithms

This article presents a comprehensive overview of UC's information‑flow video tag recognition technology, detailing tag usage scenarios, the end‑to‑end system architecture, multi‑modal feature extraction, advanced deep‑learning models such as NextVlad, behavior and person tagging methods, and future research directions.

Deep LearningRecommendation systemscomputer vision
0 likes · 14 min read
UC Information Flow Video Tag Recognition: System Architecture and Multi‑Modal Algorithms