Features are the extracted data points and characteristics from your content that enable advanced search and analysis capabilities. Mixpeek automatically extracts features from your assets using state-of-the-art AI models.

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Understanding Features

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Key Concepts

  • Feature Types: Different kinds of extracted information
  • Extraction Process: How features are generated
  • Feature Storage: How features are stored and indexed
  • Feature Usage: How features enable search and analysis

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Feature Types

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Text Features

  • Embeddings: Vector representations of text
  • Keywords: Important terms and phrases
  • Entities: Named entities (people, places, organizations)
  • Topics: Subject matter categorization
  • Sentiment: Emotional tone analysis

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Image Features

  • Visual Embeddings: Vector representations of images
  • Objects: Detected objects and their locations
  • Scenes: Environmental context
  • Colors: Color schemes and patterns
  • Text (OCR): Extracted text from images
  • Faces: Detected and recognized faces

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Video Features

  • Frame Features: Per-frame analysis
  • Motion: Movement and activity detection
  • Audio: Speech and sound analysis
  • Temporal: Time-based patterns
  • Scene Changes: Scene transition detection

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Best Practices

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Extraction Configuration

  1. Selective Extraction

    • Extract only needed features
    • Consider processing costs
    • Balance accuracy vs. speed
    • Use appropriate confidence thresholds

  2. Quality Control

    • Validate extraction results
    • Monitor confidence scores
    • Handle edge cases
    • Regular quality checks

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Performance Optimization

  • Batch Processing: Extract features in batches
  • Caching: Cache frequent features
  • Resource Management: Monitor usage
  • Pipeline Optimization: Efficient extraction order

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Error Handling

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Common Issues

  • Extraction Failures: Processing errors
  • Quality Issues: Low confidence scores
  • Resource Limits: Processing constraints
  • Invalid Input: Unsupported content

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Resolution

  1. Validation

    • Check input quality
    • Verify content types
    • Monitor extraction process
    • Validate results

  2. Recovery

    • Implement retries
    • Use fallback extractors
    • Log failures
    • Alert on issues

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