Segmentation and attributes generation stages have no theoretical basis yet
Without solving the problems of these stages, it is impossible to provide an optimal solution for information classification
Processing and decision-making normally takes much longer than required
All the existing methods and technical solutions for information processing deal with a narrow range of applications
Generation of initial description
Image sample source
A new information technology for image processing that is based on modeling natural mechanisms of visual perception:
Generation of graphic description
unity of perception instant perception using images
Provides a multilevel "top to bottom" image description at the stage of analysis and decision-making
Can be adapted to recognize any object type in any frequency range
Decision-making based on just a few attributes
The list of attributes is compact and takes only 17 bytes per frame
In case of image scaling, shifting and turning within the physiological angle of image perception
Alpha and beta errors are just 0.0165 and 0.0040 respectively, which is very low
What is a Digital Fingerprint of the Video?
Digital video fingerprinting is a technology that allows to identify and code content in the same way as the human perception does. A video fingerprint is a compact digital representation of a video that summarizes the unique characteristics of the material. In the same way as a human fingerprint is a compact way of recognizing the identity of a single individual, a fingerprint is a compact representation of a larger media file. The video fingerprints are stored in the central database and can later be used to identify video data (files and streams) at different stages of the lifecycle.
Video for identification
To build digital fingerprints, we use TAPe technology, which ensures high speed – approximately 0.8ms per frame (on one core of Intel Core 3GHz processor, taking into account Mpeg decoding).
The list of attributes is compact and takes only 17 bytes per frame. Building fingerprints for a sequence of frames allows to further reduce the size. For instance, 24 hours of video recorded at 50 frames per second require only 25 MB of space.
Application of TAPe technology ensures stability against all types of interferences and distortions (inherent in both analog and digital signals), such as various noises, changes in brightness, color, contrast, macroblocking, scaling, shifting, etc.
The developed technology provides compact video fingerprints resistant to distortions, regardless of the format and type of the original video stream. At the same time, it does not require advanced hardware and allows you to build, compare and search for prints in real time with high accuracy (alpha and beta errors are 0.0165 and 0.0040, respectively) and high speed (it takes about 0.3ms to search for a clip in one hour of video) using standard equipment. This provides a convenient search tool and helps you to effectively manage and protect media assets.