VideoContentSearchSportsKeyMomentsAnchorSetFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and identify key moments in sports videos, such as scoring plays or notable events, and associate them with relevant classification labels (e.g. "basketball"). This helps Google's search algorithm to better understand the content of sports videos and provide more accurate search results.
  • This module could impact search results by allowing Google to return more specific and relevant video results for sports-related searches. For example, if a user searches for "LeBron James dunk", the algorithm could return a video clip of the exact moment LeBron James made a dunk, rather than just a general video about LeBron James. This could also enable features like video thumbnails or previews that show the most exciting or relevant moments of a sports video.
  • A website may change things to be more favorable for this function by providing clear and descriptive metadata about their sports videos, such as labels or tags that identify the type of sport, the teams or players involved, and the key moments or events that occur in the video. They could also consider using schema.org markup or other standardized formats to provide additional context about their video content. This could help Google's algorithm to better understand the content of their videos and return more accurate and relevant search results.

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

Features for a set of Sports Key Moments (SKM) Anchors. Each instance of this object should be associated with a VideoAnchorSets object. Next ID: 3

Attributes

  • prefilterClassificationLabel (type: String.t, default: nil) - The Prefilter classification label associated with the video that contains the VideoAnchorSets this object is asociated with. E.g. "basketball".
  • tensorflowModelVersion (type: String.t, default: nil) - Version of the underlying TensorFlow model.

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.VideoContentSearchSportsKeyMomentsAnchorSetFeatures{
    prefilterClassificationLabel: String.t() | nil,
    tensorflowModelVersion: 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.