DrishtiFeatureSetData

AI Overview😉

  • Potential purpose of the module: This module, DrishtiFeatureSetData, appears to be responsible for processing and storing feature data from multimedia content, such as videos or audio files. It extracts and organizes features from different sources (e.g., audio, video, OCR) and associates them with labels. The module seems to focus on analyzing and understanding the content of multimedia files.
  • Impact on search results: This module could impact search results by allowing Google to better understand the content of multimedia files and return more relevant results. For example, if a user searches for a specific topic, the module could help Google identify videos or audio files that contain relevant information, even if the file names or descriptions don't explicitly mention the topic. This could lead to more accurate and diverse search results.
  • Optimization for this function: To optimize for this module, website owners could focus on providing high-quality, descriptive metadata for their multimedia content, such as accurate titles, descriptions, and tags. They could also ensure that their content is easily crawlable and indexable by Google. Additionally, using structured data and schema markup to provide additional context about the content could help Google's algorithm better understand the multimedia files and return them in relevant search results.

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

Attributes

  • extra (type: list(GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureExtra.t), default: nil) - Extra information for this particular FeatureSetData (example timestamp of this frame in the video). (Almost never used).
  • feature (type: list(GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetDataFeatureSetElement.t), default: nil) - The following can have multiple FeatureSetElement(s) Each of these FeatureSetElement correspond to the various feature groups. One concrete example is the way these features are generated - example audio, video or OCR.
  • label (type: list(GoogleApi.ContentWarehouse.V1.Model.DrishtiLabelSetElement.t), default: nil) - Labels for this particular FeatureSetData. (Almost never used). Only interesting when you have (for example) frame level labels.

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.DrishtiFeatureSetData{
  extra: [GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureExtra.t()] | nil,
  feature:
    [
      GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetDataFeatureSetElement.t()
    ]
    | nil,
  label: [GoogleApi.ContentWarehouse.V1.Model.DrishtiLabelSetElement.t()] | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.