VideoPipelineViperVSIColumnDataVsiStats

AI Overview😉

  • The potential purpose of this module is to analyze the processing time and completeness of video content in search results. It seems to be tracking the time it takes to process video content and whether the resulting video is a partial or complete version.
  • This module could impact search results by favoring videos that can be quickly processed and delivered to users, potentially prioritizing videos that are more easily indexable or have faster loading times. It may also demote videos that are incomplete or have slower processing times.
  • To be more favorable to this function, a website could optimize their video content by ensuring it is easily indexable, compressing video files to reduce loading times, and providing complete and high-quality video content. Additionally, they could consider using faster video processing algorithms or optimizing their video hosting infrastructure to reduce processing times.

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

The stats of each output vsi.

Attributes

  • partialVsi (type: boolean(), default: nil) - True if the output vsi is a partial vsi.
  • vsiTime (type: float(), default: nil) - The time (in secondes) from vsi_engine init to vsi written to output buffer.

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.VideoPipelineViperVSIColumnDataVsiStats{
    partialVsi: boolean() | nil,
    vsiTime: float() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.