How Visual Search Engines Are Transforming the Way we Search the Web

Visual search engines represent the future of mobile technology. For many consumers who are already using mobile apps that allow them to shop for clothing and other consumer goods simply by snapping a photo of the object with their smart phone, the future of search engine technology is already here.

But for the rest of us, visual search engine technology developed by companies  like Slyce is well on the way to transforming the way we all use the Internet.  In a recent article posted on TechCrunch, Ken Weiner, CTO of GumGum, explored many of the ways that visual search engines are transforming Internet commerce in general as well as the specific ways that consumers are using the Internet.

The main shift in online marketing has been in the area of AI or artificial intelligence. Visual search engines are only possible in-so-far as our devices are now able to learn to recognize specific images. This learning can only be facilitated through the use of free open data libraries.  While major search engines like Google and social media outlets like Facebook have the resources to develop their own technologies in this area, many smaller companies simply do not have the resources to develop visual search technologies of their own. In these cases, hosted  visual search technology is a viable solution, facilitated by companies like Slyce who offer custom services geared to power all of the visual search solutions your company needs and you can learn more about Slyce – Visual Search, Image & Product Recognition

Concept Based Image Retrieval vs. Content-Based Image Retrieval   Instead of performing text based searches in which there are possibly thousands of results that simply do not match the search criteria, visual search technology is allowing consumers to search the Internet based solely on image retrieval systems. The initial forays into visual search technology featured concept-based image retrieval systems.

These image recognition systems were based primarily on what is known as ‘meta-data,’ or descriptive data encoded into image files so that search engines could recognize them.   The newest and most efficient visual search technologies are based on content-based retrieval systems.

Content-based image retrieval or CBIR systems represent a major step forward in the way that visual search technologies work. CBIR systems do not rely on ‘meta-data’ to retrieve information about an image. Rather, they analyze actual visual information, including pixels, colors, shapes and other visual content, to find the information that you are looking for.

Visual search technology developers like Slyce are now able to create a wide array of applications that use CBIR systems in revolutionary ways. Slyce is currently offering visual search products that handle 1, 2 and 3 dimensional images equally well, which means you can scan bar codes, pictures and actual 3-dimensional objects.

Techcrunch says that with Slyce’s visual search technologies it doesn’t matter what kind of information you have, whether it is an object, a print ad, a billboard or a a UPC label, you can find all of the information that you need. No matter if you are retailer or a customer, Slyce has visual search solutions that will suit your needs.