VideoContentSearchCaptionLabelFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and understand the content of video captions, particularly the timing and text of specific labels or keywords within the caption. This module appears to be designed to extract relevant information from video captions, such as the text surrounding a specific timestamp, and identify similar text patterns.
  • This module could impact search results by allowing Google to better understand the content of videos and provide more accurate and relevant results for users searching for specific topics or keywords. For example, if a user searches for a specific phrase or topic, this module could help Google identify videos that contain relevant captions, even if the exact phrase is not present in the video's title or description. This could lead to more accurate and relevant search results, particularly for users searching for information in video format.
  • To be more favorable for this function, a website may want to ensure that their video captions are accurate, complete, and well-formatted. This could include providing detailed and descriptive captions that include relevant keywords and phrases, as well as ensuring that the captions are properly timestamped and aligned with the video content. Additionally, websites may want to consider using clear and concise language in their captions, and avoiding unnecessary or redundant information. By providing high-quality captions, websites can increase the chances of their videos being accurately understood and indexed by Google, which could lead to improved search engine rankings and visibility.

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

Contains timing and text for a given label.

Attributes

  • alignedOcrTexts (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchOCRText.t), default: nil) - OCR anchors with overlapping time-window with this anchor
  • alignedTime (type: String.t, default: nil) - The time stamp in milliseconds for the reference text (e.g. description anchor time).
  • contextText (type: String.t, default: nil) - Text around the aligned_time of a long duration, say [-15 minutes, +15 minutes]
  • labelText (type: String.t, default: nil) - The main label text for the feature.
  • textSimilarityFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchTextSimilarityFeatures.t, default: nil) - Identified matching text by similarity.
  • textSpanAtAlignedTime (type: String.t, default: nil) - The text span in the passage starting from the aligned time.

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.VideoContentSearchCaptionLabelFeatures{
    alignedOcrTexts:
      [GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchOCRText.t()] | nil,
    alignedTime: String.t() | nil,
    contextText: String.t() | nil,
    labelText: String.t() | nil,
    textSimilarityFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchTextSimilarityFeatures.t()
      | nil,
    textSpanAtAlignedTime: 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.