VideoThumbnailsFrameFile

AI Overview😉

  • The potential purpose of this module is to analyze and extract information from video thumbnails, specifically individual frames of a video. It appears to be extracting metadata such as the filename, height, width, and timestamp (msOffset) of each frame.
  • This module could impact search results by allowing Google to better understand the content of videos and potentially use this information to improve video search rankings, recommendations, or even generate thumbnails for videos in search results. This could lead to more accurate and relevant video results for users.
  • To be more favorable for this function, a website could ensure that their video thumbnails are properly optimized with descriptive filenames, accurate metadata, and consistent formatting. Additionally, websites could provide clear and concise titles, descriptions, and tags for their videos to help Google better understand the content. This could potentially improve the website's video search rankings and visibility.

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

Individual video frame saved in an image file.

Attributes

  • filename (type: String.t, default: nil) -
  • height (type: integer(), default: nil) -
  • msOffset (type: integer(), default: nil) -
  • width (type: integer(), 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.VideoThumbnailsFrameFile{
  filename: String.t() | nil,
  height: integer() | nil,
  msOffset: integer() | nil,
  width: integer() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.