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Video

As explained in AI-Powered Search

Video is time-ordered visual data consisting of multiple images, optionally accompanied by synchronized audio.

Video is time-ordered visual data made from multiple images, optionally accompanied by audio synchronized with the progression of those images. section 2.1.1

Search engines treat video as unstructured data alongside text, images, and audio. It is one of the common modalities considered in multimodal search, where different data types become searchable together. section 2.1.1 section 15.3.1

Video combines several searchable dimensions:

  • A sequence of images carries visual information across time. section 2.1.1
  • Optional synchronized audio can accompany the visual progression. section 2.1.1
  • Its multimodal character places it alongside natural language, images, and audio in search systems. section 15.3.1
Figure 2.2 Multiple types of unstructured data. In addition to the text from the last figure, we now see images, audio, and video, which are other forms of unstructured data.
figure

Use the figure to compare video with other unstructured-data types, including images and audio. section 2.1.1

How AI-Powered Search covers it

How deep it goes
Defines video structurally but does not detail indexing, representation, or retrieval strategies for it.
Examples
Uses a comparative figure showing video alongside text, images, and audio as unstructured-data types.
What you can do after
Evaluate video as a time-based combination of visual frames and optional synchronized audio in search systems.
How it connects
Connects video to unstructured data, images, audio, natural language, and multimodal search.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI-Powered Search. The section links point to the parts of the book it draws on.