VideoContentSearchVideoAnchorsScoreInfo

AI Overview😉

  • The potential purpose of this module is to analyze and score video content based on various features and attributes, such as captions, comments, descriptions, and on-screen text. It appears to be a part of Google's video search algorithm, aiming to improve the relevance and quality of video search results.
  • This module could impact search results by influencing the ranking of videos based on their content and features. For example, videos with high-quality captions, relevant comments, or accurate on-screen text may be ranked higher in search results. Conversely, videos with low-quality or irrelevant features may be demoted or filtered out. This could lead to a better user experience, as users are more likely to find relevant and high-quality video content.
  • To be more favorable for this function, a website or video content creator could focus on improving the quality and relevance of their video features, such as:
    • Providing high-quality, accurate, and relevant captions for videos.
    • Encouraging users to leave relevant and high-quality comments on videos.
    • Writing detailed and accurate video descriptions.
    • Ensuring on-screen text is accurate and relevant to the video content.
    • Using structured data and metadata to help search engines understand the video content.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

Message to contain scoring / debugging information. If you want to add information which is not directly used in the final VideoAnchors data, it should be put here. Next ID: 14

Attributes

  • anchorsCommonFeatureSet (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorsCommonFeatureSet.t, default: nil) - Common set-level features for any anchor types.
  • captionEntityAnchorSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionEntityAnchorSetFeatures.t, default: nil) - Training features and debug info for caption entity anchors.
  • captionSpanAnchorSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionSpanAnchorSetFeatures.t, default: nil) -
  • commentAnchorSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCommentAnchorSetFeatures.t, default: nil) - Set-level features for comment anchors.
  • descriptionAnchorSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDescriptionAnchorSetFeatures.t, default: nil) - Description anchor features for use in training.
  • filtered (type: boolean(), default: nil) - Whether or not the anchors will be removed in the final proto.
  • listAnchorSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchListAnchorSetFeatures.t, default: nil) - Set-level features for list anchors.
  • listTrainingDataSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchListTrainingDataSetFeatures.t, default: nil) - Set level metadata about the description anchors used to build training data for List Description anchors.
  • ocrAnchorClusterFeature (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchOnScreenTextClusterFeature.t, default: nil) - OCR anchor cluster features.
  • ocrDescriptionTrainingDataSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchOcrDescriptionTrainingDataSetFeatures.t, default: nil) - Set level metadata about the join of description anchors and OCR data which is used to build training data.
  • qnaAnchorSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchQnaAnchorSetFeatures.t, default: nil) - Metadata such as model versions for Q&A anchors.
  • ratingScore (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchVideoAnchorSetRatingScore.t, default: nil) - Human rating score, used for training.
  • sportsKeyMomentsAnchorSetFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSportsKeyMomentsAnchorSetFeatures.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.VideoContentSearchVideoAnchorsScoreInfo{
    anchorsCommonFeatureSet:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorsCommonFeatureSet.t()
      | nil,
    captionEntityAnchorSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionEntityAnchorSetFeatures.t()
      | nil,
    captionSpanAnchorSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionSpanAnchorSetFeatures.t()
      | nil,
    commentAnchorSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCommentAnchorSetFeatures.t()
      | nil,
    descriptionAnchorSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDescriptionAnchorSetFeatures.t()
      | nil,
    filtered: boolean() | nil,
    listAnchorSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchListAnchorSetFeatures.t()
      | nil,
    listTrainingDataSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchListTrainingDataSetFeatures.t()
      | nil,
    ocrAnchorClusterFeature:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchOnScreenTextClusterFeature.t()
      | nil,
    ocrDescriptionTrainingDataSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchOcrDescriptionTrainingDataSetFeatures.t()
      | nil,
    qnaAnchorSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchQnaAnchorSetFeatures.t()
      | nil,
    ratingScore:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchVideoAnchorSetRatingScore.t()
      | nil,
    sportsKeyMomentsAnchorSetFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSportsKeyMomentsAnchorSetFeatures.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.