Visual Search Engines are A Glimpse into the Future of the Internet

Visual search engines search images based on patterns they recognize and give pertinent information based on the pattern. Through image display such as graphs, websites, diagrams or previews, the results are displayed virtually so that it’s easier to find the desired match.

Slyce, TinEye, CC Search, and Compfight are just a few examples of Visual Search Engines, the latest technology for finding information on the Internet. Results may consist of locations, other images, web pages and documents related to the search input.

These search engines like image recognition are used to find certain buildings in a city. This is with a technology called Content Based Image Retrieval. The search engine uses the query by example to find data with similar color, shape, texture and content and then compares it to a database to locate the desired results.

The genius of the process is quite simple. The image is sent to the application’s server. Once there, this image is analyzed by various teams, each pros in the individual fields that comprise the image. Each team decides if the image can be categorized into one of their fields. In the end, a centralized computer analyzes the data and produces a resulting page sorted by the closest match first.

A leading company in visual search technology, Slyce allows customers to buy items they see in the world through printed catalogs, magazines, and even online through social media sites like Pinterest. The company’s technology handles one, two and three-dimensional photos, giving retailers an easy means to connect consumers with their products.

Slyce’s technology is relatively simple to use. First the consumer scans a bar code, QR code or 2D image for an exact match, or a 3D image for a similar match. Slyce then provides a HTML 5 Web Widget HTTP, API, or native SDK to begin the visual search within the camera view. Slyce also offers a shit-label standalone app. A Bar code and QR data gets extracted from the image and is processed and analyzed and results for a similar product returned to the customer. For bar codes and QR codes, the customer receives results within 1.5 seconds, and 5-15 seconds for 3D images.

This technology allows consumers a multitude of time-saving advantages. Exact products can be matched and purchased; the customer can find out more about the product and can also find other accessories to complete the look. Customers can even add items to a wish-list and search online coupons.