DrishtiFeatureSetDataFeatureSetElement

AI Overview😉

  • The potential purpose of this module is to process and store features extracted from multimedia content such as audio, video, and images. It seems to be a part of Google's content analysis and understanding capabilities, allowing the algorithm to better comprehend and rank multimedia-rich content.
  • This module could impact search results by influencing the ranking of pages with multimedia content. It may prioritize pages with high-quality, relevant, and well-optimized multimedia elements, such as images with descriptive alt tags or videos with accurate captions. This could lead to a better user experience, as users are more likely to find relevant and engaging content.
  • To be more favorable for this function, a website could focus on optimizing its multimedia content by:
    • Using descriptive and accurate alt tags for images
    • Providing captions and transcripts for audio and video content
    • Ensuring multimedia content is relevant to the page's topic and user intent
    • Optimizing image and video file sizes for faster loading times
    • Using schema markup to provide additional context about the multimedia content

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GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetDataFeatureSetElement (google_api_content_warehouse v0.4.0)

A FeatureSetElement stores the features coming from a single group.

Attributes

  • compressed (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiCompressedFeature.t, default: nil) -
  • dense (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiDenseFeatureData.t, default: nil) -
  • indexed (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiIndexedFeatureData.t, default: nil) -
  • name (type: String.t, default: nil) - A name for the feature group: example "AUDIO", "VIDEO", "OCR", etc.
  • quantized (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiQuantizedDenseFeatureData.t, default: nil) -
  • quantizedByteDense (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiQuantizedByteDenseFeatureData.t, default: nil) -
  • quantizedByteIndexed (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiQuantizedByteIndexedFeatureData.t, default: nil) -
  • sparse (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiSparseFeatureData.t, default: nil) -
  • token (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiDenseTokenData.t, default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetDataFeatureSetElement{
    compressed:
      GoogleApi.ContentWarehouse.V1.Model.DrishtiCompressedFeature.t() | nil,
    dense:
      GoogleApi.ContentWarehouse.V1.Model.DrishtiDenseFeatureData.t() | nil,
    indexed:
      GoogleApi.ContentWarehouse.V1.Model.DrishtiIndexedFeatureData.t() | nil,
    name: String.t() | nil,
    quantized:
      GoogleApi.ContentWarehouse.V1.Model.DrishtiQuantizedDenseFeatureData.t()
      | nil,
    quantizedByteDense:
      GoogleApi.ContentWarehouse.V1.Model.DrishtiQuantizedByteDenseFeatureData.t()
      | nil,
    quantizedByteIndexed:
      GoogleApi.ContentWarehouse.V1.Model.DrishtiQuantizedByteIndexedFeatureData.t()
      | nil,
    sparse:
      GoogleApi.ContentWarehouse.V1.Model.DrishtiSparseFeatureData.t() | nil,
    token: GoogleApi.ContentWarehouse.V1.Model.DrishtiDenseTokenData.t() | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.