DrishtiFeatureSetDataSequence

AI Overview😉

  • The potential purpose of this module is to analyze and process video content, particularly in relation to features, labels, and timestamps. It appears to be designed to handle video data, breaking it down into frames or segments, and extracting relevant information such as features, labels, and timestamps.
  • This module could impact search results by allowing Google to better understand and index video content. This could lead to more accurate and relevant video search results, as well as improved video recommendations. Additionally, the ability to extract features, labels, and timestamps from videos could enable more advanced video analysis and filtering capabilities.
  • To be more favorable for this function, a website could ensure that their video content is properly optimized for video search, including providing accurate and descriptive metadata, such as titles, descriptions, and tags. Additionally, websites could consider providing timestamped transcripts or captions for their videos, which could help Google's algorithm better understand the content and context of the video. Furthermore, websites could focus on creating high-quality, engaging, and relevant video content that is more likely to be indexed and surfaced in search results.

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

This represents a sequence (ordered) of FeatureSetData elements.

Attributes

  • element (type: list(GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetData.t), default: nil) - FeatureSetData contains the features. In most scenarios, you only have one element. However, multiple elements are appropriate in case of videos where each element may correspond to a frame in the video.
  • extra (type: list(GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureExtra.t), default: nil) - Some extra information about this FeatureSetDataSequence. (Almost never used).
  • label (type: list(GoogleApi.ContentWarehouse.V1.Model.DrishtiLabelSetElement.t), default: nil) - Global (video-level) labels. In most cases, you only have one LabelSetElement. All the labels will be stored in this single LabelSetElement. Scenarios where you may have multiple LabelSetElement(s) is (for example) when you want to differentiate the labels into various sub-groups - eg, central vs relevant, kg-ids vs queries, etc.
  • timestamp (type: list(String.t), default: nil) - If set, must be same length as element. Each entry is the timestamp in microseconds where the FeatureSetData element was extracted.

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.DrishtiFeatureSetDataSequence{
  element:
    [GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetData.t()] | nil,
  extra: [GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureExtra.t()] | nil,
  label: [GoogleApi.ContentWarehouse.V1.Model.DrishtiLabelSetElement.t()] | nil,
  timestamp: [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.