APPLICATIONS OF VISUAL SEARCH TECHNOLOGY
IDENTIFY YOUR IMAGES AND VIDEOS...
You can utilize TECXIPIO's visual search technology to build your own highly customized and scalable visual search engine. Easily implement our Reverse Video Search and Reverse Image Search APIs into your internal processes to conduct high-volume searches and identify matches with close-to-zero false-positive rates.
...WITH HIGHLY SCALABLE SOLUTIONS AT A REASONABLE PRICE
We wanted to create a reliable visual search technology and make it available to a large number of users. Our Reverse Video and Image Search APIs have been developed to allow for high scalability at the highest possible accuracy, so we can offer our APIs at a reasonable price.
REPLACE TEXTUAL WITH VISUAL SEARCH TECHNOLOGY
Popular image search engine APIs from companies such as Google are based on text-based keyword searches and rely heavily on metadata and descriptive tags, which are prone to high error rates (due to missing or incorrect labels) that leads to missing results or—as with public search options that search the whole web—deliver a vast amount of images, both duplicates and similar and rather than less-similar images.
ACCELERATE SEARCH PROCESSES
TECXIPIO’s Reverse Search APIs are based on computer vision technology, which means that in contrast to image- or video-recognition technology, your search results do not rely on text tags, but rather are based on the visual content itself. This makes your searches significantly more robust against false-positives and missing results, which saves you valuable time and makes your video and image comparison process scalable.
BUILD YOUR OWN SEARCH ENGINE WITH VISUAL SEARCH TECHNOLOGY
You can build your own result-optimized search engines using TECXIPIO Reverse Search APIs. Simply create a reference database with your images or videos and set up your own fully automated and customized search process that is focused on the websites, databases, or streaming sites that are sincerely relevant to your search.
APPLICATIONS OF TECXIPIO'S VISUAL SEARCH TECHNOLOGY
Piracy control: Identification of pirated content
Media owners such as photographers, movie studios and broadcasters have to protect their content by monitoring social media or streaming websites such as YouTube to identify illegal copies and thus prevent further worldwide distribution. Verifying billions of potential infringing video or image files requires scalable visual search technology that can reliably verify original content.
Media monitoring – tracking re-uploads
Re-uploading promotional media content such as trailers to non-official channels heavily dilutes the ability to track social interactions, which is crucial for the assessment of popularity levels, the measurement of promotional success and often the monetization of entertainment content
Spam video filtering/Upload filters
Upload filters – Integrate visual search technology into your upload processes to compare images or videos and images against your database to thus block certain content from going online.
Management of large media archives
Searches in large image or video databases often deliver incomplete results due to missing, incomplete or inconsistent IDs and labels. Replacing textual with visual search technology will optimize your database management.
VISUAL SEARCH TECHNOLOGY CAN OPTIMIZE THE PROCESSES FOR VARIOUS APPLICATIONS
However, reverse search engines: different technologies; different applications. Are you searching for a specific product (such as an object or person) or a specific image or video?
The probably most well-known application of reverse search technology is e-commerce, particularly among fashion stores. Consumers often search for specific products that they used to have to try and find using textual and descriptive information. However, trying to describe a pair of shoes you just saw solely using keywords most often did not yield the results for which you were looking. Therefore, it seems natural that e-commerce platforms were one of the first to implement and offer reverse search options and thus become more visible to consumers and able to offer more convenient and relevant shopping options; users can simply upload an image of the type of product for which they are looking and the reverse search technology will deliver the most suitable results from their store database, but most reverse search engines are based on visual recognition technology. The search image is tagged with relevant categories—shoes, black, man, leather, shape—and this is typically combined with a trained neural net; the database is searched for matching items so that it can offer relevant options.
Using a combination of different image recognition technologies (identification of shapes, automated tags, and color identification) and the implementation of neural nets are the most effective for such applications. They cannot decisively identify a specific image or video, but rather try to understand what is being shown in the image or video and thus come up with the best possible results.