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ANEP: A Deterministic Hybrid Framework for Person Name Extraction from News Videos — Interpretation of a Paper Accepted by IEEE CAI 2026

The research team from the University of Malta proposed ANEP (Accurate Name Extraction Pipeline), a modular and interpretable person name extraction framework that combines YOLOv12 object detection, OCR, and NER technologies to automatically extract person names from news video subtitles. Compared to black-box generative models, ANEP provides end-to-end traceability and has significant advantages in transparency and auditability.

计算机视觉新闻视频分析人名提取YOLOv12OCR命名实体识别IEEE CAI可解释AI目标检测多模态
Published 2026-05-02 07:44Recent activity 2026-05-02 07:47Estimated read 1 min
ANEP: A Deterministic Hybrid Framework for Person Name Extraction from News Videos — Interpretation of a Paper Accepted by IEEE CAI 2026
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Section 01

导读 / 主楼:ANEP: A Deterministic Hybrid Framework for Person Name Extraction from News Videos — Interpretation of a Paper Accepted by IEEE CAI 2026

Introduction / Main Floor: ANEP: A Deterministic Hybrid Framework for Person Name Extraction from News Videos — Interpretation of a Paper Accepted by IEEE CAI 2026

The research team from the University of Malta proposed ANEP (Accurate Name Extraction Pipeline), a modular and interpretable person name extraction framework that combines YOLOv12 object detection, OCR, and NER technologies to automatically extract person names from news video subtitles. Compared to black-box generative models, ANEP provides end-to-end traceability and has significant advantages in transparency and auditability.