CASE STUDY
SBS Optimizes Their Special Effects Archive with TwelveLabs
Customer profile
SBS is one of the leading South Korean television and radio broadcasters. From their popular dramas to sports, news, reality TV, and more, SBS has been a pioneer in the wave of Korean entertainment that has gained worldwide popularity in recent years. SBS aims to continue to connect with audiences across the globe, while maximizing and monetizing their vast library of video content, including special effects from both their corporate archive, as well as footage uploaded and stored by individual team members.
Executive summary
SBS’s vast content archive is a treasure trove of scenes and special effects that hold tremendous value, yet were hard to access and time-consuming to manage, until TwelveLabs AI. This case study examines how implementing TwelveLabs multimodal AI models helped SBS enable reuse of their media assets, and enable scene-level search across internal and individual archives.
Challenges
SBS faced several challenges in their content operations:
Content Retrieval
Locating previously archived visual effects was difficult and timely.
Access to Individual Team Uploads
Individual team members uploading their own work makes for another layer of metadata that goes unaccounted for in the corporate archive.
Lack of Scene-Level Search
Trading and sharing footage based on a particular scene is a timely process requiring deep-dives into mass amounts of video data.
Solution
Implementing TwelveLabs’ multimodal AI technology with SBS’s proprietary scene search technologies would address these challenges:
VFX Reference Search & Scene-Based Retrieval
IMPLEMENTATION
Development of scene search service using Marengo2.7 for dramatic special effects production
Create comprehensive video embeddings capturing visual elements, spoken content, and text overlays
Index footage by semantic content rather than just keywords
Generate timestamps for key moments, relevant shots, and VFX types
BENEFITS
Immediate access to searchable video content
TwelveLabs will add much more searchable details
Automated identification of key VFX elements
Reduced time spent on initial content search
Supports quick-access to high-demand scenes for domestic and international trading and distribution
Intelligent Statistical Analysis
IMPLEMENTATION
Development of a statistical analysis service to identify trends in digital content production and consumption across various topics
Integrate Pegasus1.2 to automatically suggest clips based on context/prompts
BENEFITS
Detects overlooked issues as it pertains to digital content trends and consumption
Identifies areas of expansion beyond news (or other verticals) to diverse genres
Reduces manual search time
Short-Form Summarization
IMPLEMENTATION
Development of AI-powered short-form summarization service, using Pegasus1.2 to enhance the efficiency of digital content production
BENEFITS
Improved productivity and usability of original content by enabling quick text summaries for content re-purposing
Conclusion
The partnership between TwelveLabs and SBS demonstrates the transformative potential of advanced multimodal AI in the TV broadcast landscape. By implementing TwelveLabs’ multimodal AI technology, SBS can streamline the VFX creation process by re-using or repurposing archived content, as well as finding specific scenes for domestic and international demand. This partnership facilitates broader workflow optimization by aggregating internal needs and integrating those needs with the power of AI. As both technologies and strategies continue to evolve, this collaboration sets a new standard for how video content can be created, distributed, re-purposed and experienced in the digital age.
