MediaIndexVideoFrames

AI Overview😉

  • The potential purpose of this module is to analyze and extract information from video frames associated with a video. This could be used to improve video search results, provide more accurate video descriptions, or enhance video content analysis.
  • This module could impact search results by allowing Google to better understand the content of videos, potentially leading to more accurate video rankings, and providing users with more relevant video results. It could also enable features like video thumbnail selection, video description generation, or video content warnings.
  • A website may change things to be more favorable for this function by providing clear, descriptive, and consistent video metadata (e.g., titles, descriptions, tags), using schema.org markup to provide additional video context, and ensuring videos are easily crawlable and indexable by Google. Additionally, websites could provide high-quality, relevant video thumbnails and optimize video content to be easily analyzable by the module.

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

Data about multiple video frames associated with the video.

Attributes

  • videoFrames (type: list(GoogleApi.ContentWarehouse.V1.Model.MediaIndexVideoFrame.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.MediaIndexVideoFrames{
  videoFrames:
    [GoogleApi.ContentWarehouse.V1.Model.MediaIndexVideoFrame.t()] | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.