A leading streaming platform needed a scalable solution for moderating user-generated content (UGC) and tagging vast amounts of video content with metadata. With thousands of videos uploaded daily, the platform faced challenges in ensuring content compliance with community standards and enhancing content discoverability for users by accurately tagging genres, themes, and objects within each video.
Objectways provided an AI-powered content moderation and metadata tagging solution tailored to the fast-paced demands of the media and entertainment industry:
With Objectways’ content moderation and metadata tagging services, the client significantly improved the safety and user experience of their platform. Inappropriate content was swiftly removed, protecting users and ensuring compliance with legal standards. Additionally, enriched metadata improved the platform’s content recommendation algorithms, leading to higher user engagement and satisfaction.
Labeling movies, TV shows, music, and other media based on genre, theme, and viewer preferences.
Power intelligent recommendation systems that suggest personalized content to users, increasing engagement and satisfaction.
Transcribing audio and video content, identifying speakers, and annotating with relevant metadata.
Improve the accuracy of speech-to-text applications and auto-generate subtitle.
Labeling images, videos, and text for inappropriate or sensitive content.
Create safer online environments by preventing the dissemination of offensive or illegal material.
Locating and labeling specific scenes, objects, and actions within movies, TV shows, and videos.
Enable searchability within media content and enhance user interaction.
Determining the emotional tone of text-based content, such as reviews, comments, and social media posts.
Gauge public opinion, identify trends, and inform content strategies to better meet audience needs.
Labeling people by facial features in images or videos.
Enable automated tagging, improve security measures, and personalize content recommendations based on individual preferences.
Labeling music tracks by genres, moods, and instrumentation.
Improve music recommendation/discovery systems and playlist creation.
Annotating media content to identify the most suitable spots for advertisements.
Increase ad viewership, improve user experience, and maximize advertising revenue.
Labeling key moments and highlights in videos.
Enhance automated summaries and trailers, enhancing user experience.
Labeling images and videos with quality attributes such as resolution, clarity, and brightness.
To train models for automated enhancement and restoration of media content.
Labeling user data to segment audiences based on demographics, preferences, and viewing habits.
To optimize marketing campaigns and content strategies for different audience segments.
Annotating game scenes, characters, and actions.
Enhance game-development AI models.
Annotating scenes for VFX and CGI development with detailed descriptions of visual elements.
To streamline the creation of complex visual effects and animations.