Boosting Video Moderation with Multimodal CLIP and Efficient Vector Search

This article describes how a video review system combines multimodal CLIP models, image‑text feature alignment, and optimized vector‑search databases such as RedisSearch and Elasticsearch to detect prohibited content in real time and perform large‑scale historical recall, while addressing challenges of generalization, storage cost, and inference speed.

AICLIPVector Search

0 likes · 18 min read

Boosting Video Moderation with Multimodal CLIP and Efficient Vector Search

21CTO

Jun 28, 2021 · Artificial Intelligence

How Multimodal AI Detects Pornographic Videos: Image & Audio Fusion Explained

This article outlines a multimodal AI framework for detecting pornographic video content by combining image and audio analysis, detailing the challenges of visual and speech-based recognition, describing the DCNet and RANet model architectures, fusion strategies, and reporting experimental accuracy of 93.4% on a 3k test set.

AIAudio ClassificationDeep Learning

0 likes · 5 min read

How Multimodal AI Detects Pornographic Videos: Image & Audio Fusion Explained

iQIYI Technical Product Team

Feb 21, 2019 · Artificial Intelligence

Multimodal Soft‑Porn Detection for Short Videos: Models, Challenges, and Lessons Learned

The article describes iQIYI's multimodal soft‑porn detection system for short videos, covering challenges like subjective definitions and class imbalance, and detailing text (Convolutional Bi‑LSTM), image (Xception‑CBAM), video (NeXtVLAD) models, integration strategies, key takeaways, and future improvements.

AIcontent moderationmultimodal detection

0 likes · 15 min read

Multimodal Soft‑Porn Detection for Short Videos: Models, Challenges, and Lessons Learned