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    12 min read

    AI-Powered Video Content Monetization and Licensing

    For media companies with archival footage. Turn dormant video archives into revenue through intelligent content discovery and automated licensing workflows.

    Who It's For

    Media companies, stock footage libraries, and broadcasters with archival content seeking to monetize historical footage through licensing and syndication

    Problem Solved

    Valuable archival content is dormant and unsearchable, licensing teams cannot find relevant footage for buyer requests, and manual curation cannot scale to library size

    Ready to implement?

    Schedule a DemoView Documentation

    Why Mixpeek

    50% increase in archive licensing revenue, instant response to buyer requests instead of days, and automated metadata generation for licensing platforms

    Overview

    Media companies own decades of archival content worth millions in potential licensing revenue. However, without proper searchability and metadata, this content remains dormant. This use case shows how Mixpeek transforms archives into searchable, licensable assets that generate ongoing revenue.

    Challenges This Solves

    Dormant Archives

    Historical footage sits unused due to poor discoverability

    Impact: Millions in potential licensing revenue unrealized

    Slow Buyer Response

    Licensing teams take days to search and respond to buyer requests

    Impact: Lost sales to competitors with faster turnaround

    Missing Metadata

    Archival content lacks the detailed metadata required for licensing platforms

    Impact: Content cannot be listed on Getty, Shutterstock, or other marketplaces

    Manual Curation

    Creating themed collections requires hours of manual review

    Impact: Only a fraction of library promoted, rest remains undiscovered

    Implementation Steps

    Mixpeek indexes archival footage with rich visual and semantic metadata, enabling licensing teams to instantly find relevant content for buyer requests and automate clip packaging

    1

    Index Archive with Licensing Metadata

    Extract comprehensive metadata for licensing platforms

    // Configure licensing-specific extractors
    const licensingConfig = {
      extractors: [
        'scene-detection',
        'object-detection',
        'location-detection',
        'era-detection',
        'mood-classification',
        'color-palette',
        'keyword-generation'
      ],
      metadata: {
        generate_keywords: true,
        generate_description: true,
        detect_editorial_vs_commercial: true
      }
    };
    

    await client.buckets.connect({
      collection_id: 'archive-licensing',
      bucket_uri: 's3://media-archive/',
      ...licensingConfig
    });
    2

    Create Buyer Search Interface

    Enable licensing team to quickly find content for buyer requests

    async function searchForBuyer(request: BuyerRequest) {
      const results = await client.retrieve({
        collection_id: 'archive-licensing',
        query: {
          type: 'text',
          text: request.description
        },
        filters: {
          era: request.era,
          location: request.location,
          rights_cleared: true,
          min_resolution: '1080p'
        },
        limit: 100
      });
    

      // Generate buyer-ready package
      return {
        clips: results.map(r => ({
          clip_id: r.object_id,
          preview_url: r.preview_url,
          duration: r.duration,
          resolution: r.metadata.resolution,
          keywords: r.metadata.keywords,
          price_tier: calculatePriceTier(r)
        })),
        total_duration: sumDuration(results)
      };
    }
    3

    Auto-Generate Licensing Metadata

    Create platform-ready metadata for marketplace listing

    async function generateListingMetadata(clipId: string) {
      const analysis = await client.extract({
        object_id: clipId,
        collection_id: 'archive-licensing',
        extractors: ['keyword-generation', 'description-generation']
      });
    

      return {
        title: analysis.suggested_title,
        description: analysis.generated_description,
        keywords: analysis.keywords.slice(0, 50),
        categories: analysis.getty_categories,
        mood: analysis.mood,
        editorial_or_commercial: analysis.usage_type
      };
    }
    4

    Create Themed Collections

    Auto-curate collections by theme, event, or season

    async function createThemedCollection(theme: string) {
      // Search for theme-relevant content
      const clips = await client.retrieve({
        collection_id: 'archive-licensing',
        query: { type: 'text', text: theme },
        limit: 500
      });
    

      // Cluster into sub-themes
      const clustered = await client.cluster({
        items: clips,
        num_clusters: 10
      });
    

      return {
        collection_name: theme,
        sub_collections: clustered.map(c => ({
          name: c.suggested_name,
          clips: c.items,
          preview: c.representative_frame
        }))
      };
    }

    Feature Extractors Used

    Scene Detection

    Detect and classify scenes in video content

    Object Detection

    Identify and locate objects within images with bounding boxes

    Retriever Stages Used

    Expected Outcomes

    50% increase in archive licensing revenue

    Licensing Revenue

    From 2-3 days to under 1 hour

    Buyer Response Time

    300% increase in archival content sales

    Archive Utilization

    100% of clips have licensing-ready metadata

    Metadata Coverage

    Auto-generated themed collections in minutes vs days

    Collection Curation

    Frequently Asked Questions

    Related Resources

    Ready to Implement This Use Case?

    Our team can help you get started with AI-Powered Video Content Monetization and Licensing in your organization.

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