Visual Search: Going Beyond Keywords

Visual search has the potential to change how we discover new ideas and products.

As such, the likes of Pinterest, Google, and Amazon have made this emerging technology a top priority.

It is a complex field, however, requiring sophisticated algorithms and huge quantities of training data.

As AI company DeepMind has posited,

“A field linguist has gone to visit a culture whose language is entirely different from our own. The linguist is trying to learn some words from a helpful native speaker, when a rabbit scurries by. The native speaker declares “gavagai”, and the linguist is left to infer the meaning of this new word. The linguist is faced with an abundance of possible inferences, including that “gavagai” refers to rabbits, animals, white things, that specific rabbit, or “undetached parts of rabbits”. There is an infinity of possible inferences to be made. How are people able to choose the correct one?”

These questions are difficult to answer in relation to humans, but they are doubly so when it comes to machines. However, the leading technology companies have made significant strides towards achieving this understanding and, in the process, creating accurate visual search engines.

In the presentation below, you will discover: 
- What visual search is 
- How visual search works 
- How effective the main visual search engines are today 
- What you can do to start optimizing for visual search today

Clark Boyd