SIMETRICKA SYSTEMS LTD
The “Image Chromosome Paradigm” (ICP) is a major Artificial Intelligence technological breakthrough, based on an advanced algorithm developed by SIMETRICKA SYSTEMS LTD. It offers similarity metrics that approximates the human intuitive visual perception.
The ICP is automatically defines the scale of similarity between images or video files. There is no need for dedicated platform or massive computational resources.
THE COMPANY BEGAN ITS DEVELOPMENT ACTIVITIES IN 2013. IT WAS FORMALLY REGISTERED AND CERTIFIED AS AN R&D COMPANY IN ISRAEL IN 2015.
The growing demand for video and image analysis can not be met. Most search engines are textually based, however a visual search is a more intuitive way of seeking information.
SEARCH OF A FRAME WITHIN A VIDEO FILE
This is an example of the ICP technology, which will demonstrate its supreme and unique advantage as a video search engine. We all recognize the growing need to locate a single frame within a video file - whether it is a domestic video or a professional one (such as medical; homeland security; business; legal or any other discipline). The ICP technology answers this challenge to locate the target frame.
The video chromosomes are added to each video file - allowing an automated and robust search for a single frame within a video database, as it is demonstrated in the following illustration.
DOTTED BASED IMAGES
Take a look at these four images: the Mona Lisa; the Eiffel Tower; an Eye; and an image of President Obama. All these images can easily be recognized by most observers but not by any current digital search engine.
The ICP is the only technology that imitates this human brain's image recognition processor. This allows the search engine to identify any form of representation of any image and suggest similar ones. This index of similarity can be used to locate the original image source; to code and decode; to process and analyze medical or e-commerce data – to name but a few possible applications for this technology.
THE IMAGE CHROMOSOME
Every image or video file is identified by a unique identifier which is the "Image Chromosome”. It encapsulates the essence of the image or the video file (i.e. its geometrical, color and energy characteristic) by numerical values that provide the Visual Similarity Metrics.
Identical chromosomes indicate that the images are identical. The gap between the numerical representation of the chromosomes discloses the degree of similarity between the images or the video files.
These images Chromosome's Numerical Distance Representation is: (20, 6, 1)
Using this information, even before opening these two files, one can conclude that they are very similar but not identical.
Dr. Nitzan Rabinowitz
CO. FOUNDER & CTO
Dr. Nitzan Rabinowitz had served as a senior researcher in the Geophysical Institute of Israel. From 2001 to 2013 he worked as a CTO for two Hi-tech companies. Dr. Nitzan Rabinowitz is an expert in developing algorithms for video compression and Image analysis.
Prof. Joseph Agassi
CO. FOUNDER & ADVISORY BOARD MEMBER
Prof. Joseph Agassi is one of worldwide leading philosophers of science. His MSc is in Physics from the Hebrew University of Jerusalem and his Ph.D is in General Science: Logic and Scientific Method from the University of London (LSE). Prof. Agassi has long experience in research and teaching in leading Universities such as: London School of Economics and the Universities of Hong Kong, Boston, York - Canada and Tel-Aviv.
Prof. Anthony Heymann
ADVISORY BOARD MEMBER
Prof. Anthony Heymann has decades of experience at the highest level of Medical management and research. Prof. Heymann serves as Chairman of the subcommittee of The National Advisory Council to The Minister of Health for Primary Care, which assesses new medical technologies and on the advisory board of several international pharmaceutical companies.
Ms. Ruth Heymann
CO. FOUNDER & CEO
Ms. Heymann is a businessperson, a publisher and an entrepreneur. In recent years, she has been involved in several projects, which required planning promotional strategies. Her involvement with high-tech development begun in 2005.