VideoContentSearchCaptionSpanAnchorFeatures

AI Overview😉

  • The potential purpose of this module is to analyze and understand the content of video captions, specifically the spoken words and their timing within the video. It appears to be using a model called "Dolphin" to generate features and scores for each caption span, which can be used to improve video search results.
  • This module could impact search results by providing more accurate and relevant video search results, especially for queries that contain spoken words or phrases. It may also help to improve the ranking of videos that have high-quality, accurate, and relevant captions. Additionally, it could enable features like video timestamping, where users can jump to specific points in a video based on the spoken words.
  • To be more favorable for this function, a website could focus on providing high-quality, accurate, and relevant video captions. This could include using automated speech recognition (ASR) technology to generate captions, as well as human editing and review to ensure accuracy. Additionally, websites could provide detailed timestamp information for their video captions, making it easier for the "Dolphin" model to analyze and understand the content. Furthermore, optimizing video content to include relevant spoken words and phrases could also improve search result rankings.

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

Attributes

  • dolphinFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSpanDolphinFeatures.t, default: nil) - The features used to construct the inference example.
  • dolphinScores (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSpanDolphinScores.t, default: nil) - The inference result from the Dolphin span model.
  • embeddingDistance (type: list(number()), default: nil) - Embedding distances (e.g. cosine distance) to the other anchors of the same video.
  • postGapInMs (type: integer(), default: nil) - Time gap in ms to the next anchor. Always positive number.
  • preGapInMs (type: integer(), default: nil) - Time gap in ms to the previous anchor. Always a positive number.
  • saftBeginTokenIndex (type: integer(), default: nil) - The range of tokens in video_info.saft_doc for the anchor label.
  • saftEndTokenIndex (type: integer(), default: nil) -
  • saftTranscriptEndCharOffset (type: integer(), default: nil) -
  • saftTranscriptStartCharOffset (type: integer(), default: nil) - The range of characters in video_info.saft_transcript for the anchor label.
  • spanAsrConfidenceStats (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the ASR confidence for the selected candidate.
  • spanDolphinScore (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t, default: nil) - A summary of the Dolphin span token scores for the selected candidate.
  • wordCount (type: integer(), default: nil) - Word count of the span text, tokenized with SAFT.

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.VideoContentSearchCaptionSpanAnchorFeatures{
    dolphinFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSpanDolphinFeatures.t()
      | nil,
    dolphinScores:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSpanDolphinScores.t()
      | nil,
    embeddingDistance: [number()] | nil,
    postGapInMs: integer() | nil,
    preGapInMs: integer() | nil,
    saftBeginTokenIndex: integer() | nil,
    saftEndTokenIndex: integer() | nil,
    saftTranscriptEndCharOffset: integer() | nil,
    saftTranscriptStartCharOffset: integer() | nil,
    spanAsrConfidenceStats:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    spanDolphinScore:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMetricStats.t()
      | nil,
    wordCount: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.