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AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Jan 29, 2024 · Artificial Intelligence

Can Vision Transformers Revolutionize Edge AI Video Analysis?

This article examines the rapid rise of edge AI video analytics, explains how Vision Transformers (ViT) overcome the limitations of traditional CNNs, details a technical pre‑research and POC conducted by a Chinese AI firm, evaluates several open‑source large models, and concludes that the OFA model best meets current edge deployment needs.

OFAedge AIvideo analytics
0 likes · 14 min read
Can Vision Transformers Revolutionize Edge AI Video Analysis?
Zhengtong Technical Team
Zhengtong Technical Team
Sep 22, 2022 · Artificial Intelligence

How YOLOv5 Powers Real‑Time City Management Video Analysis

This article explains the background, workflow, and technical details of using the YOLOv5 one‑stage object detection algorithm to enable fast, accurate video analytics for urban management, covering data augmentation, backbone design, FPN‑PAN neck, and prediction output processing.

Computer VisionDeep LearningYOLOv5
0 likes · 8 min read
How YOLOv5 Powers Real‑Time City Management Video Analysis
iQIYI Technical Product Team
iQIYI Technical Product Team
Nov 2, 2018 · Artificial Intelligence

iQIYI Tech Salon Session 3 (Beijing): AI Technology Practices and Applications

The third iQIYI Tech Salon in Beijing, held despite strong winds, showcased five expert talks on AI‑driven video library management, NLP for entertainment content, AI‑based video encoding, traffic anti‑fraud systems, and short‑video personalized recommendation, illustrating AI’s impact on content creation, quality, security, and user experience.

NLPRecommendation SystemsVideo Encoding
0 likes · 5 min read
iQIYI Tech Salon Session 3 (Beijing): AI Technology Practices and Applications
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 22, 2017 · Artificial Intelligence

iQIYI NLP Team: Research Topics, Progress, and Applications in Video Services

The iQIYI NLP team applies lexical analysis, knowledge‑graph construction, tag recommendation, query understanding, voice‑assistant semantics, sentiment mining, and box‑office/view‑count prediction—leveraging weakly labeled data, CRF/CNN‑CRF models and deep learning—to enhance video comprehension, recommendation, search and commercial services across the platform.

NLPRecommendation SystemsSpeech Assistant
0 likes · 13 min read
iQIYI NLP Team: Research Topics, Progress, and Applications in Video Services