VideoContentSearchVideoActions

AI Overview😉

  • The potential purpose of this module is to analyze and understand video content on a webpage, specifically focusing on video actions such as skipping to a specific time or pattern. This allows Google to better comprehend the video's structure and content.
  • This module could impact search results by influencing the ranking of videos that provide a better user experience, such as those with easily accessible and skip-able content. Videos that are more easily navigable may be considered more relevant or useful to users, leading to higher rankings.
  • To be more favorable for this function, a website could provide clear and structured video metadata, such as schema.org markup, to help Google understand the video's content and actions. This could include defining skip patterns, start offsets, and other relevant video information. Additionally, websites could ensure that their videos are easily navigable and provide a good user experience.

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

Video level info for online pipeline usage. For example: skip pattern as defined in https://schema.org/SeekToAction.

Attributes

  • skipPatternStartOffsetInput (type: String.t, default: nil) - startOffset_input name as defined in https://schema.org/SeekToAction
  • skipToTimePattern (type: String.t, default: nil) - Skip to time pattern as defined in https://schema.org/SeekToAction

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.VideoContentSearchVideoActions{
  skipPatternStartOffsetInput: String.t() | nil,
  skipToTimePattern: String.t() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.