InvariVision identifies videos previously uploaded to a database that are similar or identical to the video sample the client wants to search for. The software identifies duplicate copies. The copies are identified even when color schemes are changed and/or resolution of the video is low quality. Same as Google or Bing search for text, TinEye – for pictures, and Shazam – for music, InvariVison processes videos and conducts reverse search of the database to find full or partial copies of videos. The system that became the basis for InvariVison, emerged as a side-product of technology built for autonomous robot navigation technology. The creator of AVM (Associative Video Memory) video search algorithm, Dmitriy Yeremeyev, realized that this side-product can be successfully applied in reverse video search of video databases. InvariVision company was established in 2013 when Dmitry was joined by Maksim Kamensky, a software developer and a producer of successful PC video games, and by Aleksandr Krisak, an expert in UNIX-systems. In 2014, the technology was further developed and now could be applied in monitoring video advertisements on Internet and Television. In 2016, the InvariVision team took part in EECVC 2016 Conference with paper topic “Applying Image Matching Algorithms to Video Recognition and Autonomous Robot Navigation”. In the same year, the team won the third place in the Best Start-Up Contest conducted by CRDF Global. We are a small, yet ambitious, team. We were able to create a multifunctional tool which can be applied in a variety of settings where the need to identify videos exists. We continuously improve our product and adapt it to the needs of our clients.
