POPRAWA METOD KOMPENSACJI RUCHU PORUSZAJĄCYCH SIĘ OBIEKTÓW DYNAMICZNYCH W STREAMIE WIDEO SYSTEMU WIDEOKONFERENCYJNEGO

Videoconferencing gives us the opportunity to work and communicate in real time, as well as to use collective applications, interactive information exchange. Videoconferencing systems are one of the basic components of the organization of manegment, ensuring, the timeliness and necessary quality management of the implementation of objective control over the solution of the tasks. The quality of the image and the time of transmission of video information is unsatisfactory for the quality control of the troops. Considered ways to increase the efficiency of management and operational activities, due to methods of compensation of motion, using technology to reduce the volume of video data for quality improvement.Wideokonferencje dają możliwość pracy i komunikowania się w czasie rzeczywistym, a także korzystania ze zbiorowych aplikacji, interaktywnej wymiany informacji. Systemy wideokonferencyjne są jednym z podstawowych elementów organizacji zarządzania, zapewniając terminowość i niezbędne zarządzanie jakością w zakresie realizacji kontroli nad rozwiązaniem zadań. Jakość obrazu i czas transmisji informacji wideo jest niezadowalający dla kontroli jakości wojsk. Rozważono sposoby zwiększania efektywności zarządzania i działań operacyjnych, ze względu na metody kompensacji ruchu, z wykorzystaniem technologii zmniejszającej ilość danych wideo w celu poprawy jakości

OPRACOWANIE METODY POŚREDNIEGO STEGANOGRAFICZNEGO UKRYWANIA DANYCH W INFORMACJI O KONTURZE

The article discusses issues related to the use of methods of digital steganography for information security in systems of critical appointment. The advantages of using data embedding in an image container are shown. The main disadvantages of the existing methods of embedding in the image container are given. The issues of JPEG image compression for digital steganography are described. The allocation of stable regions in the attacking effects on the basis of the moving mask is proposed. The mathematical apparatus for masking images by the Sobel method is shown. The indirect steganography method of hiding data in blocks which contain information about the circuit is developed.Artykuł dotyczy konieczności stosowania cyfrowych metod steganograficznych do ochrony informacji w systemach o krytycznym znaczeniu. Pokazano zalety używania osadzania danych w kontenerze w postaci obrazu. Przeanalizowano główne wady większości istniejących systemów steganograficznych. Rozważono problemy kompresji obrazów JPEG występujące przy steganografii cyfrowej. Zaproponowano przydział stabilnych obszarów w oparciu o przesuwną maskę. Przedstawiono aparat matematyczny do maskowania obrazów metodą Sobela. Opracowano pośrednią metodę steganograficzną polegającą na ukrywaniu danych w blokach zawierających informacje o konturze

Proceedings of the Scientific Data Compression Workshop

Continuing advances in space and Earth science requires increasing amounts of data to be gathered from spaceborne sensors. NASA expects to launch sensors during the next two decades which will be capable of producing an aggregate of 1500 Megabits per second if operated simultaneously. Such high data rates cause stresses in all aspects of end-to-end data systems. Technologies and techniques are needed to relieve such stresses. Potential solutions to the massive data rate problems are: data editing, greater transmission bandwidths, higher density and faster media, and data compression. Through four subpanels on Science Payload Operations, Multispectral Imaging, Microwave Remote Sensing and Science Data Management, recommendations were made for research in data compression and scientific data applications to space platforms

A computational model of visual attention.

Visual attention is a process by which the Human Visual System (HVS) selects most important information from a scene. Visual attention models are computational or mathematical models developed to predict this information. The performance of the state-of-the-art visual attention models is limited in terms of prediction accuracy and computational complexity. In spite of significant amount of active research in this area, modelling visual attention is still an open research challenge. This thesis proposes a novel computational model of visual attention that achieves higher prediction accuracy with low computational complexity. A new bottom-up visual attention model based on in-focus regions is proposed. To develop the model, an image dataset is created by capturing images with in-focus and out-of-focus regions. The Discrete Cosine Transform (DCT) spectrum of these images is investigated qualitatively and quantitatively to discover the key frequency coefficients that correspond to the in-focus regions. The model detects these key coefficients by formulating a novel relation between the in-focus and out-of-focus regions in the frequency domain. These frequency coefficients are used to detect the salient in-focus regions. The simulation results show that this attention model achieves good prediction accuracy with low complexity. The prediction accuracy of the proposed in-focus visual attention model is further improved by incorporating sensitivity of the HVS towards the image centre and the human faces. Moreover, the computational complexity is further reduced by using Integer Cosine Transform (ICT). The model is parameter tuned using the hill climbing approach to optimise the accuracy. The performance has been analysed qualitatively and quantitatively using two large image datasets with eye tracking fixation ground truth. The results show that the model achieves higher prediction accuracy with a lower computational complexity compared to the state-of-the-art visual attention models. The proposed model is useful in predicting human fixations in computationally constrained environments. Mainly it is useful in applications such as perceptual video coding, image quality assessment, object recognition and image segmentation