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Visual search. In 2017, Pinterest introduced a "visual search" function that allows users to search for elements in images (existing pins, existing parts of a photo, or new photos) and guide users to suggested similar content within Pinterest's database.
By using reverse image search, Pinterest is able to extract visual features from fashion objects (e.g. shoes, dress, glasses, bag, watch, pants, shorts, bikini, earrings) and offer product recommendations that look similar.
April 24: Pinterest announces and releases Guided Search for its mobile apps, a new visual way to explore Pinterest's more than 30 billion pins—links or images chosen by users and assigned by them to topical collections.
Visual search is a type of perceptual task requiring attention that typically involves an active scan of the visual environment for a particular object or feature (the target) among other objects or features (the distractors). Visual search can take place with or without eye movements.
He is the co-founder and executive chairman of Pinterest, a visual discovery engine which lets users organize images, links, recipes and other things.
Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query.
Image meta search (or image search engine) is a type of search engine specialised on finding pictures, images, animations etc.
Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a scientific overview of the CBIR field).
This Finding images tutorial offers a step by step guide to find images that can be licensed as public domain or under the Creative Commons Attribution Share-Alike License for Wikipedia. The most important thing while looking for images is to. Be creative with your search!
Fan was responsible for product design at China's largest search engine and led 1,000 people. She worked on big data analytics. In 2014, she returned to Google and became Head of Image Search. In 2016, Fan joined Pinterest as Head of Engineering.