VideoContentSearchOcrDescriptionTrainingDataAnchorFeatures

AI Overview😉

  • The potential purpose of this module is to analyze the relationship between video descriptions and OCR (Optical Character Recognition) text extracted from video frames. It aims to identify the most relevant OCR text that matches the description anchors, which are likely key phrases or sentences in the video description.
  • This module could impact search results by improving the accuracy of video search results, especially for videos with descriptive titles or keywords. By analyzing the OCR text and description anchors, Google can better understand the content of the video and return more relevant results for users searching for specific topics or keywords.
  • To be more favorable for this function, a website could: Ensure video descriptions are accurate, concise, and contain relevant keywords. Use descriptive titles and tags for videos. Provide high-quality video content with clear text overlays or subtitles, making it easier for OCR to extract relevant text. Optimize video content for specific topics or keywords, increasing the chances of being returned as a relevant search result.

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

Metadata about the join of description anchors and OCR data which is used to build training data.

Attributes

  • editDistance (type: integer(), default: nil) - The string edit distance from the anchor label to the nearest OCR text.
  • editDistanceRatio (type: number(), default: nil) - edit_distance over the description anchor's label length.
  • matchedDescriptionText (type: String.t, default: nil) - The description anchor text used for matching to OCR text.
  • matchedFrameTimeMs (type: integer(), default: nil) - The time of the selected OCR frame in ms. The best frame in a window around the target description anchor will be selected.
  • matchedOcrText (type: String.t, default: nil) - The OCR text that was the best match for the nearby description anchor.

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.VideoContentSearchOcrDescriptionTrainingDataAnchorFeatures{
    editDistance: integer() | nil,
    editDistanceRatio: number() | nil,
    matchedDescriptionText: String.t() | nil,
    matchedFrameTimeMs: integer() | nil,
    matchedOcrText: 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.